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Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Estimability analysis of parameters.'
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Bedel, S., C. Vallières, and M. A. Latifi. "Parameters estimability analysis and identification for adsorption equilibrium models of carbon dioxide." Adsorption 23, no. 2-3 (February 6, 2017): 373–80. http://dx.doi.org/10.1007/s10450-017-9864-7.
Ngo, V. V., M. A. Latifi, and M. O. Simonnot. "Estimability Analysis and Optimisation of Soil Hydraulic Parameters from Field Lysimeter Data." Transport in Porous Media 98, no. 2 (April 9, 2013): 485–504. http://dx.doi.org/10.1007/s11242-013-0155-9.
Rikimaru, Yuuki, and Ritei Shibata. "Non-Identifiability of Simultaneous Spatial Autoregressive Model and Singularity of Fisher Information Matrix." International Journal of Statistics and Probability 5, no. 4 (June 15, 2017): 31. http://dx.doi.org/10.5539/ijsp.v6n4p31.
Simultaneous spatial autoregressive model is widely used for spatial data analysis, observed at a set of grid points in a space. However a problem, not so well known, is that there exists no unique model unlike time series AR model for given autocovariances or spectral density. We show that such a non-identifiability of the model implies existence of multiple maximum likelihood estimates under Gaussianity and causes non-estimability of parameters and the singularity of Fisher information matrix. Several types of necessary and sufficient conditions for the singularity are given.
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Ngo, Viet V., Horst H. Gerke, and Annika Badorreck. "Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment." Transport in Porous Media 103, no. 3 (May 6, 2014): 535–62. http://dx.doi.org/10.1007/s11242-014-0315-6.
Christopeit, Norbert, and Michael Massmann. "ESTIMATING STRUCTURAL PARAMETERS IN REGRESSION MODELS WITH ADAPTIVE LEARNING." Econometric Theory 34, no. 1 (January 9, 2017): 68–111. http://dx.doi.org/10.1017/s0266466616000529.
This paper examines the ordinary least squares (OLS) estimator of the structural parameters in a simple macroeconomic model in which agents are boundedly rational and use an adaptive learning rule to form expectations of the endogenous variable. The popularity of learning models has recently increased amongst applied economists and policy makers who seek to estimate them empirically. Yet the econometrics of learning models is largely uncharted territory. We consider two prominent learning algorithms, namely constant gain and decreasing gain learning. For each of the two learning rules, our analysis proceeds in two stages. First, the paper derives the asymptotic properties of agents’ expectations. At the second stage, the paper derives the asymptotics of OLS in the structural model, taking the first stage learning dynamics as given. In the case of constant gain learning, the structural model effectively amounts to a stationary, cointegrating, or co-explosiveness regression. With decreasing gain learning, the regressors are asymptotically collinear such that OLS does not satisfy, in general, the Grenander conditions for consistent estimability. Nevertheless, this paper shows that the OLS estimator remains consistent in all models considered. It also shows, however, that its asymptotic distribution, and hence any inference based upon it, may be nonstandard.
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Tong, Yao, Duo Zhang, Zhijiang Shao, and Xiaojin Huang. "Global Model Calibration of High-Temperature Gas-Cooled Reactor Pebble-Bed Module Using an Adaptive Experimental Design." Energies 16, no. 12 (June 12, 2023): 4653. http://dx.doi.org/10.3390/en16124653.
The world’s first high-temperature gas-cooled reactor pebble-bed module (HTR-PM) nuclear power plant adopts an innovative reactor type and a modular structure design. Parameter estimation and model calibration are of great significance prior to the implementation of model-based control and optimization. This paper focuses on identifying the thermal hydraulic parameters of HTR-PM over the global operating domain. The process technology and model mechanism of HTR-PM are reviewed. A parameter submodel named global parameter mapping is presented to quantify the relationship between an unknown model parameter and different operating conditions in a data-driven manner. The ideal construction of such a mapping requires reliable estimates, a well-poised sample set and an appropriate global surrogate. An adaptive model calibration scheme is designed to tackle these three issues correspondingly. First, a systematic parameter estimation approach is developed to ensure reliable estimates via heuristic subset selection consisting of estimability analysis and reliability evaluation. To capture the parameter behavior among the multiple experimental conditions and meanwhile reduce the operating cost, an adaptive experimental design is employed to guide condition testing. Experimental conditions are sequentially determined by comprehensively considering the criteria of sampling density, local nonlinearity and parameter uncertainty. Support vector regression is introduced as the global surrogate due to its capability of small-sample learning. Finally, the effectiveness of the model calibration scheme and its application performance in HTR-PM are validated by the simulation results.
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Fries, R. H., and N. K. Cooperrider. "Bayesian Estimation of Transit Rail Vehicle Parameters." Journal of Dynamic Systems, Measurement, and Control 107, no. 2 (June 1, 1985): 151–58. http://dx.doi.org/10.1115/1.3149687.
Bayesian parameter estimation is a powerful and versatile method with good convergence properties. This paper describes the use of the Bayesian method to estimate the parameters of a transit rail vehicle. The paper also addresses several issues of general interest in estimation work: cost function formulation, signal processing methods, parameter linking, and parameter estimability.
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Xu, Peiliang, Yumei Liu, Yunzhong Shen, and Yoichi Fukuda. "Estimability analysis of variance and covariance components." Journal of Geodesy 81, no. 9 (December 12, 2006): 593–602. http://dx.doi.org/10.1007/s00190-006-0122-0.
Dissertations / Theses on the topic "Estimability analysis of parameters":
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Bouchkira, Ilias. "Modélisation thermodynamique des solutions d'acides sulfurique et phosphorique en présence du minerai de phosphate : applications à l'encrassement, à la cristallisation et à l'optimisation multicritère d'une unité industrielle de production d'acide phosphorique." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0056.
Ce travail de thèse traite du développement d’un modèle thermodynamique et de son exploitation dans la modélisation, la simulation et l’optimisation des procédés de fabrication d’acide phosphorique. Il est décrit par des équations de bilans de matière et de charge, des équations d’équilibres chimiques, et l’équation du modèle de Pitzer. Il met en jeu plusieurs paramètres inconnus à identifier à partir de mesures expérimentales issues d’une base de données construite dans ce travail. Elle contient des mesures de spéciation d’acides phosphorique et sulfurique, des mesures de solubilité de dix minéraux, et des mesures de l’activité de l’eau de huit systèmes binaires. Ces mesures sont effectuées dans des conditions de températures allant de 298K à 353K et des concentrations allant de 0 mol/kg d’eau à 20 mol/kg d’eau. Une méthode basée sur l'analyse de sensibilité globale des paramètres est ensuite développée et utilisée pour évaluer l'estimabilité des paramètres inconnus. Ceux qui sont estimables sont alors identifiés, et les valeurs de ceux qui ne le sont pas sont fixées à partir de la littérature ou de précédentes études. Des mesures expérimentales, différentes de celles qui ont servi pour l’identification des paramètres, sont réalisées pour valider le modèle. Le test statistique F de Fisher-Snedecor et le test de Kolmogorov-Smirnov sont notamment utilisés. Les résultats de ces tests confirment les qualités de prédiction du modèle. Ce dernier est d’abord exploité dans l’optimisation multicritère d’une unité industrielle de production d’acide phosphorique, notamment pour la minimisation des pertes chimiques en phosphate et l’amélioration du rendement de l’unité. Il est ensuite utilisé dans l’analyse des problèmes d’encrassement qui se produisent lors de la production d’acide phosphorique et altèrent les performances des différentes unités du procédé de fabrication. Il est enfin exploité dans la modélisation et la simulation de la cristallisation des sulfates de calcium lors de la production de l’acide phosphorique. Le modèle ainsi validé et déjà exploité peut désormais être utilisé comme outil prédictif pour la conception et le fonctionnement optimal des procédés de fabrication d’acide phosphorique existants, voire pour le développement de nouveaux procédés plus intégrés et plus performants This PhD work deals with the development of a thermodynamic model and its use in the modeling, simulation and optimization of phosphoric acid manufacturing processes. It consists of mass and charge balance equations, chemical equilibrium equations, and Pitzer’s model equation. The model involves several unknown parameters to be identified from experimental measurements available in a database developed in this work. It contains data on speciation of phosphoric and sulfuric acids, on solubility of ten minerals, and on water activity of eight binary systems. The measurements are performed under temperature conditions ranging from 298K to 353K and concentrations ranging from 0 mol/kg water to 20 mol/kg water. A global sensitivity based estimability analysis is then developed and used to evaluate the estimability of the unknown parameters from the available data. The estimable parameters are then identified, and the values of the non-estimable ones are taken from the literature or from previous studies. Additional experimental measurements, different from those used for the identification of parameters, are carried out to validate the model. The Fisher-Snedecor statistical test and the Kolmogorov-Smirnov test are particularly used. The results of the tests confirmed the quality of the model predictions. The validated model is first exploited in the multi-objective optimization of an industrial unit of phosphoric acid production, in particular to minimize the chemical losses of phosphate and to improve of the performance of the unit. It is then used to investigate the fouling problems that occur during the production of phosphoric acid and alter the performance of different units of the manufacturing process. Finally, the model is exploited in the modeling and simulation of the crystallization of calcium sulfates during the production of phosphoric acid. The model thus validated and already exploited can now be used as a predictive tool for the design and optimal operation of existing phosphoric acid manufacturing processes, or even for the development of new processes which are more integrated and more efficient
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Markgren, Hanna. "Fatigue analysis - system parameters optimization." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-151755.
For a mechanical system exposed to repeated cyclic loads fatigue is one of the most common reasons for the system to fail. However fatigue failure calculations are not that well developed. Often when fatigue calculations are made they are done with standard loads and simplified cases. The fatigue life is the time from start of use until the system fails due to fatigue and there does exist some building blocks to calculate the fatigue life. The aim for this project was to put these building blocks together in a workflow that ca be used for calculations of the fatigue life. The workflow was built so that it should be easy to follow for any type of me- chanical system. The start of the workflow is the load history of the system. This is then converted into a stress history that is used for the calculations of the fatigue life. Finally the workflow was tested with two test cases to see if it was possible to use. In Algoryx Momentum the model for each case was set up and then the load history was extracted for each time step during the simulation. To convert the load history to stress history FEM calculations was needed, this was however not a part of this project so the constants to convert loads to stress was given. Then with the stress history in place it was possible to calculate the fatigue life. The results from both test cases were that it was possible to follow every step of the workflow and by this use the workflow to calculate the fatigue life. The second test also showed that with an optimization the system was improved and this resulted in a longer lifetime. To conclude the workflow seems to work as expected and is quite easy to follow. The result given by using the workflow shows the fatigue life, which was the target for the project. However, to be able to evaluate the workflow fully and understand how well the resluts can be trusted a comparison with empiric data would be needed. Still the results from the tests are that the workflow seem to give reasonable results when calculating fatigue life.
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Kirkwood, Jobie Samuel. "Analysis of protein crystallisation parameters." Thesis, University of York, 2015. http://etheses.whiterose.ac.uk/9656/.
Proteins are biochemical molecules that are essential for life processes. Their function is linked to their structure and so it follows an understanding of their structure will assist in an understanding of their function. The predominant method of solving protein structures is X-ray crystallography and for this a protein crystal is required. The process of obtaining a crystal is amongst the phases of the structure determination process with the highest rates of attrition. Analyses are performed throughout this thesis, which are intended to help improve output for this bottleneck. It has been possible to develop a method to determine pH using a spectrophotometer and acid-base indicator in an accurate, rapid and efficient manner. A method for predicting the pH of buffered solutions has also been developed and these predicted pH values are linked to the isoelectric point of a protein sequence. The isoelectric point is in turn used in classification, along with many other features, to determine a protein's propensity to crystallise. Finally, the most prevalent and successful chemical species in crystallisation are explored, compared and linked. These chemicals are used to design a new crystallisation screen.
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Oosthuizen, Lizle Joann. "Impact of obesity on semen analysis parameters." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/19888.
Includes bibliographical references This study aims to address the lack of data on the link between BMI and infertility in the South African population by describing the prevalence of male overweight and obesity in a group of men undergoing infertility investigation, as well as assessing any semen analysis abnormalities in these groups. It also aims to describe how well men can predict their BMI category and determine whether weight loss would be an acceptable part of infertility management in overweight or obese male partners. Beliefs surrounding healthy weight and fertility will also be addressed.
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Hin, Lin Yee. "Analysis and Modelling of Implied Market Parameters." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/208.
This dissertation addresses market information extraction from option and zero coupon prices, its representation as contingent claim pricing model parameters, and its application in financial parameters analysis and forecast. We analyse implied volatility estimation sensitivity with respect to discount rate uncertainty. We develop a strategy to jointly infer implied discount rate and implied volatility from option prices. We infer market information from zero coupon prices in multiple yield curve framework to predict future short rate.
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Bennia, Abdelhak. "Mimo systems parameters identification." Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41579.
In this thesis, a presentation of a new canonical representation of multi-input multioutput
systems is given. The new characterization covers the full range of practical
situations in linear systems according to the structural properties and model of the
perturbations which are known. Its direct link to ARMA processes as well as to
classical state space representation ls also given.
The importance of the new representation lies in the fact that all unknown parameters
and state variables appear linearly multlplied by either external variables (inputs
and outputs) that appear in the data record, or by matrices that are only composed
of ieroes and ones. This property enables us to perform a joint state and parameters
estimation. Moreover, if the noises are gaussian and their statistics are known, an
on-line algorithm that involves a standard dlscrete-time time-varying Kalman filter is
proposed and used successfully in the estimation of unknown parameters for simulated
examples.
Master of Science
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Shao, Rui. "Effect of experimental parameters on simultaneous thermal analysis." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2007%20Spring%20Theses/SHAO_RUI_44.pdf.
Nik, Idris Nik Ruzni. "Estimating meta analysis parameters in non-standard data." Thesis, University of Strathclyde, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432097.
Marrero, Robert L. Jr. "Analysis of Variable Insensitive Friction Stir Welding Parameters." ScholarWorks@UNO, 2017. http://scholarworks.uno.edu/td/2385.
Friction Stir Welding (FSW) was used to perform a Design of Experiment (DOE) to determine the welding parameters effects on yielding consistent mechanical properties across the length of the weld. The travel speed was varied across set forge force and RPM conditions, to find a dataset that will yield consistent mechanical properties independent of the travel speed. Six different welds were completed on two different aluminum panels, the advancing side being Aluminum alloy 2195-T8 at a thickness of .350”, with the retreating side being Aluminum alloy 2219-T851 with a gauge thickness of .360”. A Left-hand Right-hand self-reacting pin tool was used for each weld. The mechanical properties of interest are the Ultimate Tensile Strength, Yield Strength, Elasticity and Hardness. The strengths were evaluated by tensile testing, with the Elasticity being measure post break. Specimens were then polished where macrograph and micrograph analysis was completed. Micro-hardness testing was then completed on the weld nuggets.
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Jacobs, Patricia A., Donald Paul Gaver, and Arthur Fries. "Prediction of changeover performance operational test (OT) parameters from developmental test (DT) parameters via meta-analysis." Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/24476.
Books on the topic "Estimability analysis of parameters":
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Thomas, Kailath, and Ames Research Center, eds. Estimability and regulability of linear systems. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.
C, Herring Susan, Reenen Pieter Th van, Schøsler Lene 1946-, and International Conference on Historical Linguistics (11th : 1993 : University of California, Los Angeles), eds. Textual parameters in older languages. Amsterdam: J. Benjamins Pub., 2000.
Nasruddin, Fakhrizal Azmy, Muhamad Noor Harun, Ardiyansyah Syahrom, Mohammed Rafiq Abdul Kadir, Abdul Hafidz Omar, and Andreas Öchsner. Finite Element Analysis on Badminton Racket Design Parameters. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21735-2.
Book chapters on the topic "Estimability analysis of parameters":
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Fresenius, Wilhelm, Karl Ernst Quentin, and Wilhelm Schneider. "Inorganic Parameters." In Water Analysis, 195–476. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-72610-1_3.
Fresenius, Wilhelm, Karl Ernst Quentin, and Wilhelm Schneider. "Organic Parameters." In Water Analysis, 477–613. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-72610-1_4.
Wassenhoven, Louis C. "Parameters of Analysis." In The Ancestry of Regional Spatial Planning, 155–65. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96995-4_7.
Dormann, Carsten. "Distributions, Parameters and Estimators." In Environmental Data Analysis, 29–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55020-2_3.
Varga, Richard S. "Estimation of Acceleration Parameters." In Matrix Iterative Analysis, 313–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05156-2_9.
Westfall, Peter H., and Andrea L. Arias. "Estimating Regression Model Parameters." In Understanding Regression Analysis, 43–56. Boca Raton : CRC Press, [2020]: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781003025764-2.
Rahmani-Andebili, Mehdi. "Problems: Transmission Line Parameters." In Power System Analysis, 37–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84767-8_3.
Novozhilov, Igor V. "Dimensional analysis and small parameters." In Fractional Analysis, 1–24. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-4130-0_1.
Conference papers on the topic "Estimability analysis of parameters":
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Wei, Erhu, Jingnan Liu, Wei Yan, and Chuang Shi. "On the estimability of geodetic parameters with space-ground and space-space SVLBI observations." In International Conference on Earth Observation Data Processing and Analysis, edited by Deren Li, Jianya Gong, and Huayi Wu. SPIE, 2008. http://dx.doi.org/10.1117/12.816216.
Wei, Erhu, and Qi Zhang. "On the Estimability of Geodetic Parameters of Mars with Pulsar Observations." In 2010 International Conference on Multimedia Technology (ICMT). IEEE, 2010. http://dx.doi.org/10.1109/icmult.2010.5629660.
Guillaume, Sicot, Ghannami Mohamed Ali, Lennon Marc, and Loyer Sophie. "Estimability Study of the Parameters of the Semi-Analytical Lee Model with Hyperspectral Data." In 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2021. http://dx.doi.org/10.1109/whispers52202.2021.9483991.
Croce, Silvia, and Daniele Vettorato. "Urban parameters analysis and visualization." In 55th ISOCARP World Planning Congress, Beyond Metropolis, Jakarta-Bogor, Indonesia. ISOCARP, 2019. http://dx.doi.org/10.47472/itwn5490.
Several mitigation and adaptation strategies are proposed to tackle the environmental issues associated to massive urbanization and climate change. All these solutions are highly related to the utilization of urban surfaces (i.e. building envelopes, streets, public spaces, etc.). However, the existing trends demonstrate the lack of a systemic approach able to integrate multiple possible functions and avoid sub-optimal solutions. In this context, urban planning can play an essential role in managing conflicts among different surface uses and ensuring their integration. This involves making spatially explicit decisions about the types of surface use allowable, and their extent and location. The decision-making process needs to be supported by accurate and detailed knowledge about the spatial distribution of a variety of parameters that influence the surface uses in cities. This study presents a systematic framework to support planning decisions based on accurate, diverse and spatially explicit information, and discusses its application in a residential district located in Bolzano (Italy). The proposed method implies the assembly of a multivariate spatial database of significant morphological and environmental parameters acquired through environmental simulation techniques and on-site data collection. The three-dimensional visualization of this database represents a solid base to relate urban planning decisions on surface uses to their effects in terms of microclimatic conditions, thermal comfort, and on-site renewable energy production.
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Wang, Jie, Jianwei Qi, Dandan Zhang, and Zhengbo Fu. "Sensitivity analysis about FLAASH model parameters." In 2018 Fifth International Workshop on Earth Observation and Remote Sensing Applications (EORSA). IEEE, 2018. http://dx.doi.org/10.1109/eorsa.2018.8598564.
Nayel, M., J. Zhao, J. He, Z. Cai, and Q. Wang. "Analysis of Long Electrode Transient Parameters." In 2006 International Conference on Power System Technology. IEEE, 2006. http://dx.doi.org/10.1109/icpst.2006.321716.
Nystrom, Gustav A., Garrison Kost, and Stephen M. Werner. "Stiffness Parameters for Vehicle Collision Analysis." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/910119.
Vyas, Saurabh, Amit Banerjee, Luis Garza, Sewon Kang, and Philippe Burlina. "Hyperspectral signature analysis of skin parameters." In SPIE Medical Imaging, edited by Carol L. Novak and Stephen Aylward. SPIE, 2013. http://dx.doi.org/10.1117/12.2001428.
Brink, Mundy, Helge Brandsaeter, and Lars Knudsen. "Interactive presurvey analysis of acquisition parameters." In SEG Technical Program Expanded Abstracts 1990. Society of Exploration Geophysicists, 1990. http://dx.doi.org/10.1190/1.1890052.
Zhang, Zhengguang, and Le-cai Cai. "Medical ultrasonic atomizer design parameters analysis." In 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2010. http://dx.doi.org/10.1109/bmei.2010.5639408.
Reports on the topic "Estimability analysis of parameters":
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Vigil, Miquela S., Matthew Robert Brake, and Douglas Vangoethem. Analysis of Modeling Parameters on Threaded Screws. Office of Scientific and Technical Information (OSTI), June 2015. http://dx.doi.org/10.2172/1192267.
Larson, N. M., L. C. Leal, and H. Derrien. Integral data analysis for resonance parameters determination. Office of Scientific and Technical Information (OSTI), September 1997. http://dx.doi.org/10.2172/654209.
Wilson, Lonnie A. Collection and Analysis of Specific Elint Signal Parameters. Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada183813.
Geelhood, Kenneth J., Mark R. Mitchell, and James G. Droppo. Sensitivity Analysis of Hardwired Parameters in GALE Codes. Office of Scientific and Technical Information (OSTI), December 2008. http://dx.doi.org/10.2172/946672.
Gaver, Donald P., Patricia A. Jacobs, and Arthur Fries. Prediction of Changeover Performance: Operational Test (OT) Parameters from Developmental Test (DT) Parameters via Meta-Analysis. Fort Belvoir, VA: Defense Technical Information Center, August 1997. http://dx.doi.org/10.21236/ada328590.
Strand, Douglas J. Parameters and Depth of Penetration of Barkhausen Noise Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada538247.
Bergmann, V. L., and D. J. Ammerman. An analysis of parameters affecting slapdown of transportation packages. Office of Scientific and Technical Information (OSTI), June 1991. http://dx.doi.org/10.2172/5654748.
Liu, Hui. Performance analysis of DOA estimation algorithms using physical parameters. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6218.
Chang, Yuan-Lung, and Chung-Kee Yen. Optimal Manipulator Parameters and Placement Based on Decoupled Analysis. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, April 2021. http://dx.doi.org/10.7546/crabs.2021.04.13.
Sun, C. Shawn, Adam D. Sevenker, and Mostafa Abo El-Khier. Development of Precast Girder Transport Vehicle Stability Analysis Parameters. Precast/Prestressed Concrete Institute, 2023. http://dx.doi.org/10.15554/pci.rr.misc-009.
The goal of this project is to quantify transport vehicle stability analysis parameters more clearly, most importantly rotational stiffness, and to define a protocol to specify and verify those parameters for contracting. This project consists of three major tasks: literature review and online surveys, field measurements, and protocol development. This report summarizes the research activities and findings on various tasks.
