Relevant bibliographies by topics / RESPONCE SURFACE METHODOLOGY

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'RESPONCE SURFACE METHODOLOGY'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "RESPONCE SURFACE METHODOLOGY"

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Jin, J., X. Wang, Y. Han, Y. Cai, Y. Cai, H. Wang, L. Zhu, L. Xu, L. Zhao, and Z. Li. "Combined beef thawing using response surface methodology." Czech Journal of Food Sciences 34, No. 6 (December 21, 2016): 547–53. http://dx.doi.org/10.17221/138/2016-cjfs.

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Based on four thawing methods (still air, still water, ultrasonic wave, and microwave) and single-factor tests, we established a four-factor three-level response surface methodology for a regression model (four factors: pH, drip loss rate, cooking loss rate, protein content). The optimal combined thawing method for beef rib-eye is: microwave thawing (35 s work/10 s stop, totally 170 s) until beef surfaces soften, then air thawing at 15°C until the beef centre temperature reaches –8°C, and finally ultrasonic thawing at 220 W until the beef centre temperature rises to 0°C. With this method, the drip loss rate is 1.9003%, cooking loss rate is 33.3997%, and protein content is 229.603 μg, which are not significantly different from the model-predicted theoretical results (P ≥ 0.05).
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Manuel, Jeremia, Raffi Paramawati, and Maria D. P. Masli. "UTILIZATION OF RESPONSE SURFACE METHODOLOGY IN THE OPTIMIZATION OF ROSELLE ICE CREAM MAKING [Penggunaan Response Surface Methodology dalam Optimisasi Pembuatan Es Krim Rosella]." Jurnal Teknologi dan Industri Pangan 25, no. 2 (December 2014): 125–33. http://dx.doi.org/10.6066/jtip.2014.25.2.125.

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Dube, Vinitkumar Dilipkumar. "Optimization of Biodiesel (MOME) Using Response Surface Methodology (RSM)." International journal of Emerging Trends in Science and Technology 04, no. 11 (November 13, 2016): 4736–41. http://dx.doi.org/10.18535/ijetst/v3i11.02.

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Doti, Baqe, Daudi Nyaanga, Samwel Nyakach, Jane Nyaanga, and Oscar Ingasia. "Biochar production and quality optimization using response surface methodology technique." Applied Research Journal of Environmental Engineering 4, no. 1 (March 31, 2022): 1–16. http://dx.doi.org/10.47721/arjee20220401011.

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The dependency on fossil fuels can be reduced by the use of renewable energy sources like biomass and it can make a remarkable contribution to the reduction of CO2 emissions and as a result reducing the carbon footprint hence eliminating the greenhouse gas effect. Biomass materials that go to waste can be recovered through the pyrolysis process in order to produce biochar which can be used as a source of energy for cooking. The aim of this study was to carry out optimization of biochar production and quality using the Response Surface Methodology technique. The parameters varied were feedstock moisture content (FMC) (10%, 15% and 20%), pyrolysis residence time (PRT) (in minutes) 90, 135 and 180 and chimney inclination angle (CIA) (30o, 45o and 60o). An experimental insulated metallic carbonization kiln (1 m high and 0.5 m diameter) was developed and used. Response Surface Methodology technique by using Box-Behnken Design was used to develop a mathematical equation to predict the production and quality of the biochar with respect to varied parameters which was later optimized to determine the optimal conditions for biochar production and quality. The biochar quality was based on its moisture content (MC), volatile matter (VM), ash content (AC), fixed carbon (FC) and pH. The combined optimal conditions were 10% feedstock moisture content, 126.93 min pyrolysis residence time and 30o chimney inclination angle resulting to production of 44.35%, MC = 3.82%, VM = 23.52%, AC = 2.94%, FC = 67.89% and pH = 9.28. The mathematical equation developed had composite desirability (CD) of 0.9490 at a p-value≤0.05 which made it viable. These research findings are of importance since optimization reduces the wastage of resources resulting into increase in the efficiency of the pyrolysis system. Keywords: Renewable Energy, Pyrolysis, Biochar, Optimization, Response Surface Methodology
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Yaguas, Orlando José. "Metodología de superficie de respuesta para la Optimización de una producción agrícola." Revista Ingeneria Industrial 16, no. 2 (August 1, 2017): 205–22. http://dx.doi.org/10.22320/s07179103/2017.13.

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Zhang, Q., Y. Lin, S. Shen, Z. Xing, and X. Ruan. "Simulation and Optimization on Cellulase Immobilization Using Response Surface Methodology." International Journal of Environmental Science and Development 6, no. 9 (2015): 664–67. http://dx.doi.org/10.7763/ijesd.2015.v6.677.

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Aruna, M. "Optimization of Parameters for Student Assessment Using Response Surface Methodology." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (October 31, 2019): 1492–97. http://dx.doi.org/10.5373/jardcs/v11sp10/20192994.

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M, Aruna, and Rashmi Rani. "Optimization of Parameters for Student Assessment Using Response Surface Methodology." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (February 20, 2019): 540–45. http://dx.doi.org/10.5373/jardcs/v11sp11/20193064.

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Yumnam, S. "OPTIMIZATION OF TANNASE POSITIVE PROBIOTIC PRODUCTION BY SURFACE RESPONSE METHODOLOGY." Biotechnologia acta 7, no. 5 (2014): 62–70. http://dx.doi.org/10.15407/biotech7.05.062.

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Park, Kwon Hyun, Min Soo Heu, and Jin-Soo Kim. "Development of Salted Semi-dried Common Gray Mullet Mugil cephalus using Response Surface Methodology." Korean Journal of Fisheries and Aquatic Sciences 48, no. 6 (December 31, 2015): 839–48. http://dx.doi.org/10.5657/kfas.2015.0839.

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Dissertations / Theses on the topic "RESPONCE SURFACE METHODOLOGY"

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Pickle, Stephanie M. "Semiparametric Techniques for Response Surface Methodology." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/28517.

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Many industrial statisticians employ the techniques of Response Surface Methodology (RSM) to study and optimize products and processes. A second-order Taylor series approximation is commonly utilized to model the data; however, parametric models are not always adequate. In these situations, any degree of model misspecification may result in serious bias of the estimated response. Nonparametric methods have been suggested as an alternative as they can capture structure in the data that a misspecified parametric model cannot. Yet nonparametric fits may be highly variable especially in small sample settings which are common in RSM. Therefore, semiparametric regression techniques are proposed for use in the RSM setting. These methods will be applied to an elementary RSM problem as well as the robust parameter design problem.
Ph. D.
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Miller, Michael Chad. "Global Resource Management of Response Surface Methodology." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1621.

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Statistical research can be more difficult to plan than other kinds of projects, since the research must adapt as knowledge is gained. This dissertation establishes a formal language and methodology for designing experimental research strategies with limited resources. It is a mathematically rigorous extension of a sequential and adaptive form of statistical research called response surface methodology. It uses sponsor-given information, conditions, and resource constraints to decompose an overall project into individual stages. At each stage, a "parent" decision-maker determines what design of experimentation to do for its stage of research, and adapts to the feedback from that research's potential "children", each of whom deal with a different possible state of knowledge resulting from the experimentation of the "parent". The research of this dissertation extends the real-world rigor of the statistical field of design of experiments to develop an deterministic, adaptive algorithm that produces deterministically generated, reproducible, testable, defendable, adaptive, resource-constrained multi-stage experimental schedules without having to spend physical resource.
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Hata, Misako. "Non linear tolerance analysis by response surface methodology." Ohio : Ohio University, 2001. http://www.ohiolink.edu/etd/view.cgi?ohiou1173897314.

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Gaston, Godfrey Jonathan. "IC optimisation using parallel processing and response surface methodology." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/16989.

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Simulation software has become an essential tool in the design and development of integrated circuits. The key to the rapid and efficient designs required in the competitive industry lies with the use of these simulators with statistical optimisation methods. This is necessary if companies are to survive in the aggressive IC marketplace. The linking of simulation and statistics not only results in rapid development times, but also in robust, highly manufacturable products. In this work an automated software system is presented where the benefits of simulation and statistical techniques can be readily made available. The efficiency of the system is increased further by utilising parallel processing techniques. Using one system built round the INMOS transputer and one using Intel 1860 processors, the time taken to obtain simulation results is greatly reduced. Two statistical methods are investigated, namely Response Surface Methodology (RSM) and Taguchi analysis. In order to illustrate how these approaches can be utilised in the field of semiconductors, part of a 1.5 μm nMOS process is optimised in relation to some specified device parameters. A comparison is made between both techniques, with good agreement being obtained. Finally devices have also been fabricated using the same experimental design as for the RSM simulation analysis. This facilitated a verification of the simulation optimisation with reality. Both simulated and fabricated devices suggested the same improved optimised conditions when compared to the existing process parameters.
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Parikh, Harshal. "Reservoir characterization using experimental design and response surface methodology." Texas A&M University, 2003. http://hdl.handle.net/1969/480.

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Zhang, Aijun. "Majorization methodology for experimental designs." HKBU Institutional Repository, 2004. http://repository.hkbu.edu.hk/etd_ra/521.

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Sulistiyono, Heri. "Rainfall-runoff model calibration using experimental designs and response surface methodology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0001/MQ42452.pdf.

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Carter, William E. "Response surface methodology for optimizing the fermentation of a cycloheximide producing streptomycete." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1221297.

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Many antibiotics are produced as secondary metabolites of Streptomyces species. Commercial production of an antibiotic involves the optimization of environmental parameters, genetic makeup, and medium. Selection of ingredients for both inoculum (seed) and fermentation (production) media must provide for economic production, and easy downstream processing of the compound. Antibiotics are produced as secondary shunt metabolites and represent products that are not essential for primary metabolism of the cell; therefore conditions for their optimal expression may or may not be associated with good growth of the organism. Response Surface Methodology (RSM) is a collection of statistically designed experiments and analyses that directs the investigation of many factors and their interactions. This approach minimizes the number of trials required to identify critical factors and possible synergism between factors. In this research, an antifungal antibiotic produced by an unknown streptomycete collected from soil, was isolated, characterized and identified as cycloheximide. RSM was then used toformulate both a seed and production medium that optimizes cycloheximide biosynethesis. For the seed medium, RSM was used in a three step process: i) full factorial categorical screen of many factors, ii) Plackett-Burman two-level screen of promising factors, and iii) orthogonal central composite design of critical factors. Optimal 24 hour packed cell volume was found with a seed medium containing (g/L): 6.6g soluble starch, 23.4g yeast extract, and Mg K2HPO4. Additionally, the effects of inoculum age and passage on resulting cycloheximide production were studied. It was found that the negative effects of increasing inoculum age and passages on cycloheximide production could be mediated by the composition of the seed medium. For the production medium, RSM analysis of 29 ingredients suggests that an optimal production medium for cycloheximide biosynthesis should contain a combination of starch (40 g/L), corn gluten (17.8 g/L), MgSO4.7H2O (1.16 g/L), and NaCl (6.38 g/L). This final production medium resulted in a cycloheximide titer of 943 µg/ml, a 6-fold improvement in antibiotic production.
Department of Biology
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Joshi, Shirish. "Simulation-optimization studies : under efficient stimulationstrategies, and a novel response surface methodology algorithm /." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06062008-170545/.

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Nageshwaraniyergopalakrishnan, Saisrinivas. "Simulation-Based Robust Revenue Maximization Of Coal Mines Using Response Surface Methodology." Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/555853.

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A robust simulation-based optimization approach is proposed for truck-shovel systems in surface coal mines to maximize the expected value of revenue obtained from loading customer trains. To this end, a large surface coal mine in North America is considered as case study. A data-driven modeling framework is developed and then applied to automatically generate a highly detailed simulation model of the mine in Arena. The framework comprises a formal information model based on Unified Modeling Language (UML), which is used to input mine structural as well as production information. Petri net-based model generation procedures are applied to automatically generate the simulation model based on the whole set of simulation inputs. Then, factors encountered in material handling operations that may affect the robustness of revenue are then classified into 1) controllable; and 2) uncontrollable categories. While controllable factors are trucks locked to routes, uncontrollable factors are inverses of summation over truck haul, and shovel loading and truck-dumping times for each route. Historical production data of the mine contained in a data warehouse is used to derive probability distributions for the uncontrollable factors. The data warehouse is implemented in Microsoft SQL, and contains snapshots of historical equipment statuses and production outputs taken at regular intervals in each shift of the mine. Response Surface Methodology is applied to derive an expression for the variance of revenue as a function of controllable and uncontrollable factors. More specifically, 1) first order and second order effects for controllable factors, 2) first order effects for uncontrollable factors, and 3) two factor interactions for controllable and uncontrollable factors are considered. Latin Hypercube Sampling method is applied for setting controllable factors and the means of uncontrollable factors. Also, Common Random Numbers method is applied to generate the sequence of pseudo-random numbers for uncontrollable factors in simulation experiments for variance reduction between different design points of the metamodel. The variance of the metamodel is validated using leave-one-out cross validation. It is later applied as an additional constraint to the mathematical formulation to maximize revenue in the simulation model using OptQuest. The decision variables in this formulation are truck locks only. Revenue is a function of the actual quality of coal delivered to each customer and their corresponding quality specifications for premiums and penalties. OptQuest is an optimization add-on for Arena that uses Tabu search and Scatter search algorithms to arrive at the optimal solution. The upper bound on the variance as a constraint is varied to obtain different sets of expected value as well as variance of optimal revenue. After comparison with results using OptQuest with random sampling and without variance expression of metamodel, it has been shown that the proposed approach can be applied to obtain the decision variable set that not only results in a higher expected value but also a narrower confidence interval for optimum revenue. According to the best of our knowledge, there are two major contributions from this research: 1) It is theoretically demonstrated using 2-point and orthonormal k-point response surfaces that Common Random Numbers reduces the error in estimation of variance of metamodel of simulation model. 2) A data-driven modeling and simulation framework has been proposed for automatically generating discrete-event simulation model of large surface coal mines to reduce modeling time, expenditure, as well as human errors associated with manual development.
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Books on the topic "RESPONCE SURFACE METHODOLOGY"

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1940-, Khuri André I., ed. Response surface methodology and related topics. New Jersey: World Scientific, 2005.

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A, Cornell John. How to apply response surface methodology. Milwaukee, WI: ASQC, 1990.

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Marti, Kurt. Semi-stochastic approximation by the response surface methodology (RSM). Neubiberg: Universität der Bundeswehr, 1990.

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Myers, Raymond H. Response surface methodology: Process and product optimization using designed experiments. 3rd ed. Hoboken, N.J: Wiley, 2008.

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C, Montgomery Douglas, ed. Response surface methodology: Process and product optimization using designed experiments. 2nd ed. New York: J. Wiley, 2002.

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C, Montgomery Douglas, ed. Response surface methodology: Process and product optimization using designed experiments. New York: Wiley, 1995.

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Response Surface Methodology. New York: McGraw-Hill, 2010.

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Response surface methodology and related topics. Singapore: World Scientific, 2006.

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Khuri, André I. Response Surface Methodology and Related Topics. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/5915.

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Response Surface Methodology in Engineering Science [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.90965.

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Book chapters on the topic "RESPONCE SURFACE METHODOLOGY"

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Barton, Russell R. "Response Surface Methodology." In Encyclopedia of Operations Research and Management Science, 1307–13. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_1143.

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Dean, Angela, Daniel Voss, and Danel Draguljić. "Response Surface Methodology." In Springer Texts in Statistics, 565–614. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52250-0_16.

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Kleijnen, Jack P. C. "Response Surface Methodology." In Handbook of Simulation Optimization, 81–104. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1384-8_4.

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Khuri, André I. "Response Surface Methodology." In International Encyclopedia of Statistical Science, 1229–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_492.

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Selvamuthu, Dharmaraja, and Dipayan Das. "Response Surface Methodology." In Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control, 319–51. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1736-1_9.

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Korondi, Péter Zénó, Mariapia Marchi, and Carlo Poloni. "Response Surface Methodology." In Optimization Under Uncertainty with Applications to Aerospace Engineering, 387–409. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60166-9_12.

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Ruby-Figueroa, René. "Response Surface Methodology (RSM)." In Encyclopedia of Membranes, 1729–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-44324-8_1998.

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Ruby-Figueroa, René. "Response Surface Methodology (RSM)." In Encyclopedia of Membranes, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-40872-4_1998-1.

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Berger, Paul D., Robert E. Maurer, and Giovana B. Celli. "Introduction to Response-Surface Methodology." In Experimental Design, 533–84. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64583-4_16.

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Labeyrie, Jacques. "Response Surface Methodology in Structural Reliability." In Solid Mechanics and Its Applications, 39–58. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5614-1_3.

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Conference papers on the topic "RESPONCE SURFACE METHODOLOGY"

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Ibrahim, Anis Izzati, Nurjannah Salim, and Rasidi Roslan. "The effect of input power and exposure time on moisture content of microwave dried oil palm trunk using response surface methodology application." In THE PHYSICS OF SURFACES: Aspects of the Kinetics and Dynamics of Surface Reaction. AIP, 2023. http://dx.doi.org/10.1063/5.0114202.

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Kouleshoff, Alexander A., and Vladislav V. Nelayev. "New approach for response surface methodology." In Fourth International Workshop on Nondestructive Testing and Computer Simulations in Science and Engineering. SPIE, 2001. http://dx.doi.org/10.1117/12.417686.

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Moral, Ramon, and George Dulikravich. "A Hybridized Self-Organizing Response Surface Methodology." In 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-5891.

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Sinopoli, Lucas, Martin Ordonez, and John E. Quaicoe. "Wind turbine rotor modelling using response surface methodology." In 2010 IEEE 23rd Canadian Conference on Electrical and Computer Engineering - CCECE. IEEE, 2010. http://dx.doi.org/10.1109/ccece.2010.5575133.

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Zhao, Tiantao, Lijie Zhang, and Youcai Zhao. "Study on Biomethane Inhibition Using Response Surface Methodology." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5163463.

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Lim, Ho-Kyoung, Jae-Woo Jung, and Jung-Pyo Hong. "Optimization of magnetic suspension using response surface methodology." In INTELEC 2009 - 2009 International Telecommunications Energy Conference. IEEE, 2009. http://dx.doi.org/10.1109/intlec.2009.5351999.

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Vaughn, Dusty, and Doug Garrard. "Hypersonic Ground-Test Flow Field Response Surface Methodology." In 47th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-6088.

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"Aerodynamic configuration design using response surface methodology analysis." In Aircraft Design, Systems, and Operations Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-3967.

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JOYNER, C., and J. SABATELLA. "Launch vehicle propulsion optimization using response surface methodology." In 26th Joint Propulsion Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-2433.

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Mandic, Tvrtko, Renaud Gillon, and Adrijan Baric. "IC-Stripline design optimization using response surface methodology." In 2013 9th International Workshop on Electromagnetic Compatibility of Integrated Circuits (EMC Compo). IEEE, 2013. http://dx.doi.org/10.1109/emccompo.2013.6735175.

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Reports on the topic "RESPONCE SURFACE METHODOLOGY"

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Carley, Kathleen M., Natalia Y. Kamneva, and Jeff Reminga. Response Surface Methodology. Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada459032.

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Miller, Michael. Global Resource Management of Response Surface Methodology. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1620.

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Romero, V. J., and S. D. Bankston. Finite-element/progressive-lattice-sampling response surface methodology and application to benchmark probability quantification problems. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/645581.

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Wilson, D., Michael Shaw, Vladimir Ostashev, Michael Muhlestein, Ross Alter, Michelle Swearingen, and Sarah McComas. Numerical modeling of mesoscale infrasound propagation in the Arctic. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45788.

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The impacts of characteristic weather events and seasonal patterns on infrasound propagation in the Arctic region are simulated numerically. The methodology utilizes wide-angle parabolic equation methods for a windy atmosphere with inputs provided by radiosonde observations and a high-resolution reanalysis of Arctic weather. The calculations involve horizontal distances up to 200 km for which interactions with the troposphere and lower stratosphere dominate. Among the events examined are two sudden stratospheric warmings, which are found to weaken upward refraction by temperature gradients while creating strongly asymmetric refraction from disturbances to the circumpolar winds. Also examined are polar low events, which are found to enhance negative temperature gradients in the troposphere and thus lead to strong upward refraction. Smaller-scale and topographically driven phenomena, such as low-level jets, katabatic winds, and surface-based temperature inversions, are found to create frequent surface-based ducting out to 100 km. The simulations suggest that horizontal variations in the atmospheric profiles, in response to changing topography and surface property transitions, such as ice boundaries, play an important role in the propagation.
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Robinson, W. Evaluation of thin flexible pavements under simulated aircraft traffic. Engineer Research and Development Center (U.S.), December 2020. http://dx.doi.org/10.21079/11681/39161.

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A full-scale airfield pavement test section was constructed and trafficked by the U.S. Army Engineer Research and Development Center (ERDC) to evaluate the performance of relatively thin airfield pavement structures. The test section consisted of 16 test items that included three asphalt pavement thicknesses and two different aggregate base courses. The test items were subjected to simulated aircraft traffic to evaluate their response and performance to realistic aircraft loads and to evaluate the effect of reductions in tire pressure on thin asphalt pavement. Rutting behavior, pavement cracking, instrumentation response, and falling weight deflectometer response were monitored at selected traffic intervals. The results of this study were used to extend existing Department of Defense pavement design and evaluation techniques to include the evaluation of airfield pavement sections that do not meet the current criteria for aggregate base quality and minimum asphalt concrete surface thickness. These performance data were used to develop new aggregate base failure design curves using existing stress-based design methodology.
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Weeks and Dash Weeks. L52336 Weld Design Testing and Assessment Procedures for High-strength Pipelines Curved Wide Plate Tests. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2011. http://dx.doi.org/10.55274/r0010452.

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A variety of mechanical property tests are performed in the design, construction and maintenance phase of a pipeline. Most of the tests are performed by use of small-scale specimens with size typically in the range of a few inches to tens of inches (1 in = 25.4 mm). There are numerous test labs capable of performing most small-scale tests. These tests can be performed effectively under a variety of conditions, e.g., test temperature, strain rate, and loading configuration. More importantly, most routine small-scale tests are performed in accordance with national and international standards, ensuring the consistency of testing procedures. To confirm pipeline designs and validate material performance, it is desirable to test girth welds under realistic service conditions. Full-scale tests can incorporate certain realistic features that small-scale specimens cannot. However, these tests can be time-consuming and expensive to conduct. Very few labs can perform the tests, even with months of start-up and preparation time. There are no generally accepted, consistent test procedures among different test labs. The data acquisition and post-processing may differ from lab to lab, creating difficulties in data comparison. Full-scale tests can only be performed under selected conditions as a supplemental tool to the small-scale tests. The work described in this report focuses on the development of test procedures and instrumentation requirements for curved-wide-plate (CWP) tests. The results of this work can be used for: Developing a test methodology to measure the physical response of a finite-length surface-breaking flaw to axial loads applied to a girth welded line pipe section, Determining the appropriate instrumentation to fully characterize the global stress/strain response of the CWP specimen during loading, Evaluating the applicability of the test methodology for sub-ambient temperatures, and Developing a standardized test procedure for CWP testing with a wide range of test parameters.
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7

Upadhyaya, Shrini, Dan Wolf, William J. Chancellor, Itzhak Shmulevich, and Amos Hadas. Traction-Soil Compaction Tradeoffs as a Function of Dynamic Soil-Tire Interation Due to Varying Soil and Loading Conditions. United States Department of Agriculture, October 1995. http://dx.doi.org/10.32747/1995.7612832.bard.

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The objectives of this study were to investigate soil-pneumatic tire interaction and develop traction-soil compaction prediction model. We have developed an inverse solution technique that employs a response surface methodology to determine engineering properties of soil in-situ. This technique is useful in obtaining actual properties of soil in-situ for use in traction and soil compaction studies rather than using the values obtained in the laboratory by employing remolded and/or disturbed soil samples. We have conducted extensive field tests i the U.S. to develop semi-empirical traction prediction equation for radial ply tires. A user friendly traction-soil compaction program was developed to predict tractive ability of radial ply tires using several different techniques and to estimate soil compaction induced by these tires. A traction prediction model that incorporates strain rate effects on the tractive ability of tires was developed in Israel. A mobile single wheel tester and an in-situ soil test device were developed i Israel to significantly enhance the ability of Israeli investigators to conduct traction-soil compaction research. This project has resulted in close cooperation between UCD, Technion, and ARO, which will be instrumental in future collaboration.
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8

Chalutz, Edo, Charles Wilson, Samir Droby, Victor Gaba, Clauzell Stevens, Robert Fluhr, and Y. Lu. Induction of Resistance to Postharvest Diseases and Extension of Shelf-Life of Fruits and Vegetables by Ultra-Violet Light. United States Department of Agriculture, February 1994. http://dx.doi.org/10.32747/1994.7568093.bard.

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Following preliminary observations by one of the collaborating scientists on this project and the completion of a 1-year, BARD-supported feasibility study (IS-1908-90F), this 3-year BARD project has been executed. The main objectives of the research were to elucidate biochemical and pathological aspects of UV-induced resistance in fruits and vegetables, to characterize physical and biological variables of induced resistance and delay of ripening, and to explore the application of the treatment as a control practice of postharvest diseases and shelf-life extension of fruits and vegetables. Our findings, which are detailed in numerous joint publications, have shown that the effect of UV-C light on induction of resistance and delay of ripening is a general one and of wide oddurrence. Apart from surface sterilization of the commodity, the reduction of decay of different fungi has been associated with and induced resistance phenomenon which gradually builds up within 24 to 48 hours after the UV treatment and can be reversed by visible light. In citrus, induced resistance has been associated with increased activity of the enzymes phenylalanine ammonia-lyase and peroxidase, and with the levels of endglucanase and chitinase. In tomato, resistance was correlated with the production of high levels of tomatine. Our study of some molecular aspects of the induced resistance in grapefruit has revealed the induction of a cDNA which represents a gene encoding for an isoflavone reductase-like protein that, in legumes, has been associated with phytoalexin biosynthesis. This gene was cloned and sequenced. Delay of ripening was associated in tomato with inhibition of ethylene production, carotenoid synthesis, and chlorophyll degradation and with the presence of high levels of polyamines. In peach fruit epiphytic populations of a yeast increased following the UV treatment. Pilot-size treatment and packing lines were constructed in the US and Israel to test the application of the UV treatment on a semi-commercial scale. Although effective in reduction of decay and delay of ripening, a number of problems will have to be addressed before practical application of this methodology can be realized. The main issues are associated with the temporal and variable response to the treatment, and its relationship to the maturity and date of harvest of the commodity.
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