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Journal articles on the topic 'Performance in construction'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

S., Tharanya. "Study on Contractors Performance in Construction." Journal of Advanced Research in Dynamical and Control Systems 11, no. 9 (September 30, 2019): 126–31. http://dx.doi.org/10.5373/jardcs/v11i9/20193369.

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2

Lam, Terence Y. M., and Keith S. Gale. "A Procurement Performance Model for Construction Frameworks." Journal of Engineering, Project, and Production Management 5, no. 2 (July 31, 2015): 60–70. http://dx.doi.org/10.32738/jeppm.201507.0002.

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3

Cambiaso, Fabiana, and Matteo Varioli Pietrasanta. "Innovative Timber Construction: Sustainability and Gigh Performance Building Skin." International Journal of Engineering and Technology 6, no. 1 (2014): 47–54. http://dx.doi.org/10.7763/ijet.2014.v6.664.

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4

Bassioni, H. A., A. D. F. Price, and T. M. Hassan. "Performance Measurement in Construction." Journal of Management in Engineering 20, no. 2 (April 2004): 42–50. http://dx.doi.org/10.1061/(asce)0742-597x(2004)20:2(42).

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5

Chang, A. S., Z. Y. Li, and Y. L. Chen. "Environmental Performance Disclosure in the CSR Reports of Construction Companies." International Journal of Trade, Economics and Finance 8, no. 3 (June 2017): 158–64. http://dx.doi.org/10.18178/ijtef.2017.8.3.555.

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6

Xu, Yilu. "Improving the Time Performance of Prefabricated Construction Projects: A Review." E3S Web of Conferences 253 (2021): 02041. http://dx.doi.org/10.1051/e3sconf/202125302041.

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Prefabricated construction, as innovative construction technology, has been gradually applied in the construction industry in recent decades. However, little research has focused on the factors which affect the project schedule of prefabricated construction. Therefore, this review aims to systematically identify and classify determinants that influence the schedule of prefabricated constructions. Based on the literature review, 13 factors that influence the schedule performance of prefabricated construction projects are identified and classified into 7 categories: design, construction techniques, collaboration, coordination, and communication between participants, supply chain, owner, human resource, external conditions. The findings of this study provide valuable clues for both researchers and project practitioners to efficiently implement prefabricated construction projects. Future research directions are also provided.

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7

Zhao, Yang, and Binghua Li. "Construction of Ecological Performance Evaluation Index for Rural Construction." E3S Web of Conferences 143 (2020): 01026. http://dx.doi.org/10.1051/e3sconf/202014301026.

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The construction of ecological performance evaluation index system of beautiful rural construction aims to promote the benign and high-quality development of rural ecological construction with the evaluation of rural ecological performance, and ultimately help to achieve the goal of regional "rural revitalization". Focusing on the ecological performance evaluation of rural construction in eastern Zhejiang Province, this paper screened and tested the evaluation indexes, and each index was given different weights based on the existing ecological performance evaluation index system combined with pre-selected evaluation indexes such as literature search and field research by means of expert consultation, questionnaire survey and analytic hierarchy process (AHP). The evaluation index system of ecological performance of beautiful rural construction was initially constructed with 2 first-class indexes, 11 secondclass indexes and 29 third-class indexes in order to improve the rural ecological space environment, enhance the rural ecological civilization, develop the quality of life of villagers, and promote rural revitalization.

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Haugbølle, Kim, Jacob Norvig Larsen, and Jørgen Nielsen. "Construction productivity revisited: towards measuring performance of construction output." Engineering, Construction and Architectural Management 26, no. 5 (June 17, 2019): 794–813. http://dx.doi.org/10.1108/ecam-03-2018-0094.

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Purpose Construction is repeatedly criticised for its low productivity based on statistical data that do not represent the output of construction adequately. The purpose of this paper is to improve the understanding of construction output – being the numerator in construction productivity calculations – by focussing on changes in quantity of the products, product characteristics and composition of the aggregate rather than as changes in price. Design/methodology/approach The research design of this study applies statistical data from the national accounts along with data from four paradigmatic case studies of social housing projects covering a period of 50 years. Findings The results indicate that while construction output prices have increased threefold over the past 50 years, improvements in performance can only explain approximately 20 per cent. Research limitations/implications The developed four-step method has demonstrated its value as a means to measure changes in the characteristics of the product, but more studies on the actual figures and results over time and regions are required before solid conclusions can be drawn. Social implications This study has added new knowledge of construction output that supports the development of a more accurate construction statistics, which in turn can assist the design of more effective and evidence-based policies for improving construction productivity. Originality/value This paper describes and demonstrates a novel performance-based methodology for addressing changes in the characteristics of the products in a longitudinally perspective, which can potentially provide a better understanding of changes in productivity.

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9

Jahren, Charles T., Gerald W. Chase, Laura A. McCollough, and Eric L. Carlson. "Performance Measures for Construction Administration." Transportation Research Record: Journal of the Transportation Research Board 1575, no. 1 (January 1997): 121–26. http://dx.doi.org/10.3141/1575-17.

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A performance measuring system was developed for the Iowa Department of Transportation Offices of Construction. Measures were developed for eight key processes: inspection of work, resolution of technical issues, documentation of work progress and pay quantities, employee training and development, continuous feedback for improved contract documents, provision of safe traffic control, external/public communication, and provision of preletting information. The results indicate that the Iowa Offices of Construction are very cost-effective, are prompt in closing construction contracts, and have good relations with contractors and law enforcement officers. Improvements could be made by streamlining the procedures, reducing the time to resolve technical issues quickly, and improving traffic control. Researchers recommend refining the performance measuring system and continued performance monitoring.

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10

Bonfield, Peter. "Environmental Performance Enters Construction Materials." MRS Bulletin 33, no. 4 (April 2008): 454–56. http://dx.doi.org/10.1557/mrs2008.89.

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The environmental sustainability of materials used in construction applications is driving a requirement for the quanti-fcation of performance attributes of such materials. For example, the European Union (EU) Energy Performance in Buildings Directive will give commercial buildings an energy rating when rented or sold. The Code for Sustainable Homes launched by the U.K. Government's Department for Communities and Local Government (CLG) in January 2007 sets out the requirement for all new homes to be carbonneutral by 2016. In addition, homes in the United Kingdom will need to signifcantly reduce water consumption from today's average 160 liters (1) per person per day to less than 801 per person per day. Similarly stringent targets are required for waste, materials, and other factors. Such environmental and energy standards are complementing characteristics such as strength, stiffness, durability, impact, cost, and expected life with factors such as “environmental profle,” “ecopoints” (a single unit measurement of environmental impact arising from a product throughout its lifecycle that is used in the United Kingdom), “carbon footprint” (amount of CO2 produced for the lifecycle of the item), “recycled content,” and “chain of custody” (a legal term that refers to the ability to guarantee the identity and integrity of a specimen from collection through to reporting of test results).

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11

Wegelius-Lehtonen, Tutu. "Performance measurement in construction logistics." International Journal of Production Economics 69, no. 1 (January 2001): 107–16. http://dx.doi.org/10.1016/s0925-5273(00)00034-7.

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12

Oyewobi, Luqman Oyekunle, Abimbola Olukemi Windapo, and James Olabode Bamidele Rotimi. "Determinants of construction organisational performance." Journal of Financial Management of Property and Construction 22, no. 1 (April 3, 2017): 37–61. http://dx.doi.org/10.1108/jfmpc-05-2016-0021.

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Purpose Literature suggests that there are sets of common variables that are capable of explaining organisational performance differentials. These variables are used to examine performance variance and its contribution to organisation profitability. Therefore, the purpose of this paper is to examine the determinants of large construction organisations’ performance in South Africa using a partial least squares path analytic method. Design/methodology/approach This study examines the interrelationship between a number of constructs, namely, organisational characteristics, resources/capabilities, competitive strategies, business environment and performance, using a questionnaire survey to obtain data from 72 large construction organisations in South Africa. Using a path analytic approach, the paper examines the relationship between the constructs discussed in the study. Findings The findings from the analysis of the data show that organisational characteristics do indeed influence the performance of organisations, and that the business environment is capable of moderating the relationship between competitive strategies and performance. The results, however, indicate that organisations that combine sustained organisational characteristics and strategy tend to experience high performance over those that do not. Originality/value The study findings have implications for management practice, as it could help managers of construction organisations to acknowledge the influence of organisational characteristics, unique resources/capabilities, competitive strategies and business environment as sources of competitive advantage. The study contributes to the current debate on the causes of performance differentials among large construction organisations.

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13

Na Lim, Jay, and Frank Peltner. "Innovation performance of construction enterprises." Construction Innovation 11, no. 3 (July 12, 2011): 282–304. http://dx.doi.org/10.1108/14714171111149016.

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14

Buchanan, Andrew H. "Fire performance of timber construction." Progress in Structural Engineering and Materials 2, no. 3 (2000): 278–89. http://dx.doi.org/10.1002/1528-2716(200007/09)2:3<278::aid-pse33>3.0.co;2-p.

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15

Assaf, Sadi A., Abdul‐Mohsen Al‐Hammad, and Ahmed Ubaid. "Factors effecting construction contractors' performance." Building Research & Information 24, no. 3 (May 1996): 159–63. http://dx.doi.org/10.1080/09613219608727520.

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16

Smith, Ryan E., Gentry Griffin, Talbot Rice, and Benjamin Hagehofer-Daniell. "Mass timber: evaluating construction performance." Architectural Engineering and Design Management 14, no. 1-2 (February 20, 2017): 127–38. http://dx.doi.org/10.1080/17452007.2016.1273089.

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17

Wolf, Mark J. P. "The Technological Construction of Performance." Convergence: The International Journal of Research into New Media Technologies 9, no. 4 (December 2003): 48–59. http://dx.doi.org/10.1177/135485650300900405.

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18

Zhang, Lianying, and Weijie Fan. "Improving performance of construction projects." Engineering, Construction and Architectural Management 20, no. 2 (February 22, 2013): 195–207. http://dx.doi.org/10.1108/09699981311303044.

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19

Rafi, Muhammad Masood, and Humberto Varum. "Seismic performance of adobe construction." Sustainable and Resilient Infrastructure 2, no. 1 (January 2, 2017): 8–21. http://dx.doi.org/10.1080/23789689.2017.1278996.

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20

Kim, Haena, Byungkyu Moon, Xinyu Hu, Hosin (David) Lee, Gum-Sung Ryu, Kyung-Taek Koh, Changbin Joh, Byung-Suk Kim, and Brian Keierleber. "Construction and Performance Monitoring of Innovative Ultra-High-Performance Concrete Bridge." Infrastructures 6, no. 9 (August 30, 2021): 121. http://dx.doi.org/10.3390/infrastructures6090121.

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The application of Ultra-High-Performance Concrete (UHPC) materials in rehabilitating bridges and constructing primary bridge components is increasing rapidly across the world because of their superior strength and durability characteristics when compared to regular concretes. However, there have been few new bridges constructed using UHPC materials with regular formworks, ready-mix trucks, and construction equipment. This paper presents a comprehensive report encompassing the design, construction, and performance monitoring of a new bridge constructed in Iowa using a unique UHPC technology that includes steel fibers of two different lengths embedded in the concrete. By using optimized lengths of steel fibers, both the tensile strength and the toughness were increased. The UHPC material was produced with local cement and aggregates in the US using typical ready-mix concrete equipment. This paper discusses the experience gained from the design and construction process including mix design, batching, delivery of steel fibers to the ready-mix concrete batch unit, and post-tensioning of precast slabs at the jobsite. For four years after construction, the joints of the bridge decks were monitored using strain sensors mounted on both sides of the deck joints. The strain values were quite similar between the two sides of each joint, indicating a good load transfer between precast bridge girders. A bridge was successfully constructed using a unique UHPC technology incorporating two different lengths of steel fibers and utilizing local cement and aggregates and a ready-mix truck, and has been performing satisfactorily with a good load transfer across post-tensioned precast girder joints.

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21

Shahandashti, Mohsen, Baabak Ashuri, Ali Touran, Reza Masoumi, and Edward Minchin. "Construction Portfolio Performance Management Using Key Performance Indicators." Journal for the Advancement of Performance Information and Value 10, no. 2 (December 3, 2018): 85–101. http://dx.doi.org/10.37265/japiv.v10i2.16.

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The purpose of this study is to determine the relative importance of key results areas (KRAs) and develop key performance indicators (KPIs) for construction portfolio performance management. The research methodology consists of the following steps: (1) Designing and conducting a fact-finding survey of owners and contractors to determine the relative importance of KRAs; (2) Designing and conducting structured interviews to develop KPIs; and (3) Assessing the usefulness of the results. Unlike the literature that has consistently highlighted the importance of risk management for construction portfolio performance management, risk management is not among top five KRAs (schedule, cost, cash flow, change management and safety) identified in the survey. This represents the significant gap in how research community and industry look at portfolio performance management. When it comes to dashboard development, contractors and owners have different KRAs within their dashboard for portfolio management. The limited knowledge about the relative importance of KRAs is one of the most important barriers towards managing project portfolios. This study is the first attempt to critically examine the literature and practice of construction portfolio performance management in order to highlight noteworthy differences between KRAs studied by the research community and implemented by the industry.

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22

Park, Wonyoung. "Comparison of Cost Performance for Delivery Methods on Public Construction Projects." Journal of the Korean Society of Civil Engineers 33, no. 6 (2013): 2575. http://dx.doi.org/10.12652/ksce.2013.33.6.2575.

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23

Dixit, Saurav, and Kinshuk Saurabh. "Impact of Construction Productivity Attributes Over Construction Project Performance in Indian Construction Projects." Periodica Polytechnica Architecture 50, no. 1 (April 30, 2019): 89–96. http://dx.doi.org/10.3311/ppar.12711.

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Performance of a construction project could be influenced by a number of attributes, especially large and complex projects lay additional focus on the success / failure attributes, because of the intensive amount of money invested, a high degree of uncertainty, the complexity of personnel’s required, a multiplicity of goals and problems in coordination between different stakeholders encountered. In this research paper, the author intended to define and examine the relationship and impact of construction productivity (CP) over construction project performance (CPP). The author tests the proposition that there is a positive relationship/impact between both of them. And to test the effect of factors is affecting CP on CPP and to propose a conceptual model on the basis of the analysis. To validate the mathematical validity of factor analysis, Spearman correlation analysis has been performed on the factors. And to check the reliability of all the factors using reliability analysis, and finally test the hypothesis that construction productivity is having a positive impact on project performance using one sample t-test. The findings of the study concluded that there is a positive impact of construction productivity on project performance in Indian construction projects. This paper attempts to identify the relationship between CP and CPP and recommends the framework for the industry to grow sustainably and deliver projects successfully. This study is conducted using a structured questionnaire survey in India and to validate the results of the study similar kind of study is required to be conducted in the other regions of the country to have more reliable findings."This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018: Dixit, S., Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2018). Construction Productivity and Construction Project Performance in Indian Construction Projects, m(July), 379–386. https://doi.org/10.3311/CCC2018-050".

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Park, Yong-Woo, and Hee-Sung Park. "Weights for Construction Performance Impact Factors of Public Construction Project." Journal of the Korea Contents Association 12, no. 8 (August 28, 2012): 373–79. http://dx.doi.org/10.5392/jkca.2012.12.08.373.

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25

Gui, Lan, Yue Jun Li, and Zeng Guang Li. "Road Performance Test and Application of TerraZyme Solidification Soil." Applied Mechanics and Materials 295-298 (February 2013): 452–62. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.452.

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TerraZyme is a completely different and new material for constructing road compared to the traditional road construction materials. Through the indoor and field tests of TerraZyme solidification soil, the road performance (e.g., unconfined compression strength, CBR value，modulus of resilience, hydraulic conductivity etc) of TerraZyme solidification soil was analyzed systematically. Meanwhile, the changing patterns in the case of various construction technology and different maintenance conditions were discussed. Then, the quality control index and measure for construction were presented. By validating the adaptability of TerraZyme solidification technology in engineering practice, it showed that the technology of TerraZyme solidification soil have many advantages such as no pollution, simple and convenient construction, higher solidified strength, good water stability and lower cost. Therefore, it can be broadly popularized and applied in the engineering practice.

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Kärnä, Sami, and Juha-Matti Junnonen. "Designers’ performance evaluation in construction projects." Engineering, Construction and Architectural Management 24, no. 1 (January 16, 2017): 154–69. http://dx.doi.org/10.1108/ecam-06-2015-0101.

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Purpose In a construction project, “participants’ satisfaction” is one of the main dimensions used for measuring the successfulness of a project. Designers perform a major role in attaining the project goals and managing project complexity during production. The purpose of this paper is to examine the designers’ performance as evaluated by the main participants: the client, the project consultant/manager and the main contractor, and to identify the main success factors of designer performance using the participants’ evaluation. The study also aims to examine how the economic size of a project affects the project participants’ assessment of the designer’s performance. It is assumed that as the size of a project increases, so does the complexity of the project, which will affect the scope of work and demands on the designers’ operational performance for the specific project level. Design/methodology/approach The Finnish project evaluation and benchmark database was used in this study as empirical data. The quantitative data consists of surveys on the project level and are based on a multi-dimensional standard evaluation wherein the main participants evaluate each other’s performances. The client, project consultant and main contractor evaluated the designer’s performance. The data of the study consisted of a total of 892 evaluations. ANOVA analysis was used to examine the differences between the project participants’ assessments based upon the different economic sizes of the projects. Findings Contractors were satisfied with the designers’ performance in small projects, whereas the client and the project consultant/manager rated the designers’ performance most successful in large projects. This result may be due to small projects are typically simple and less complex, in which case design solutions are generally well-defined. Nonetheless, the participants’ level of satisfaction follows the same factors. The main problems in the designers’ performance were related to the design content: the flawlessness and comprehensiveness, as well as the compatibility and consistency of designs. These factors were emphasized particularly in the client’s low satisfaction of the designer’s performance. However, project participants were satisfied with the collaboration with designers; however, room for improvement could be found in internal communication and collaboration within the design teams. The findings illustrated that the assessment of the success rate of a project was party-specific, which was clearly affected by the size of the project, as large projects appeared to be more complex than smaller ones. Practical implications The findings suggested that there is a need to develop project-specific practices in managing multidisciplinary design teams. Additionally, particularly in large projects, designers should focus more on solving problems and design requirements occurring at the construction site. However, this should be implemented in such a way that this does not interfere with the design activities conducted with the client and project management. While client satisfaction is low in the small projects, designers should focus more on customer-oriented methods to serve client needs better. Originality/value In construction project management studies, there is a need to measure the importance that various participants assign to different success factors. Since project success factors depend on project type, a more project-specific approach is suggested to identify the main parameters for measuring project success. This study provides a holistic approach of the designers’ performance, which contributes to the theory of project success and designers’ performance improvement.

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27

JOHNSTON, T. A., A. C. WILSON, and J. D. EVANS. "ROADFORD RESERVOIR: DESIGN, CONSTRUCTION AND PERFORMANCE." Proceedings of the Institution of Civil Engineers - Water Maritime and Energy 112, no. 4 (December 1995): 316–25. http://dx.doi.org/10.1680/iwtme.1995.28112.

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Meade, Nigel, and Gerald R. Salkin. "Index Funds-Construction and Performance Measurement." Journal of the Operational Research Society 40, no. 10 (October 1989): 871. http://dx.doi.org/10.2307/2583396.

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DÚBRAVSKÁ, KATARÍNA, ĽUDMILA TEREŇOVÁ, and JAROSLAVA ŠTEFKOVÁ. "CLT construction performance under thermal loading." Wood Research 65, no. 4 (August 31, 2020): 605–14. http://dx.doi.org/10.37763/wr.1336-4561/65.4.605614.

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Park, Hee-Sung, Kyo-Sun Lee, and Du-Heon Lee. "Performance Analysis of Construction Technology Policy." Korean Journal of Construction Engineering and Management 11, no. 4 (July 31, 2010): 80–88. http://dx.doi.org/10.6106/kjcem.2010.11.4.80.

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31

Hinze, Jimmie, Samuel Thurman, and Andrew Wehle. "Leading indicators of construction safety performance." Safety Science 51, no. 1 (January 2013): 23–28. http://dx.doi.org/10.1016/j.ssci.2012.05.016.

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32

Kale, Serdar, and David Arditi. "Differentiation, Conformity, and Construction Firm Performance." Journal of Management in Engineering 19, no. 2 (April 2003): 52–59. http://dx.doi.org/10.1061/(asce)0742-597x(2003)19:2(52).

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33

Hoffman, Greg J., Alfred E. Thal, Timothy S. Webb, and Jeffery D. Weir. "Estimating Performance Time for Construction Projects." Journal of Management in Engineering 23, no. 4 (October 2007): 193–99. http://dx.doi.org/10.1061/(asce)0742-597x(2007)23:4(193).

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34

McCabe, Brenda, Simaan M. AbouRizk, and Randy Goebel. "Belief Networks for Construction Performance Diagnostics." Journal of Computing in Civil Engineering 12, no. 2 (April 1998): 93–100. http://dx.doi.org/10.1061/(asce)0887-3801(1998)12:2(93).

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35

Bartholomew, Charles L. "Design and Construction Performance: Smaller Projects." Journal of Performance of Constructed Facilities 1, no. 1 (February 1987): 48–52. http://dx.doi.org/10.1061/(asce)0887-3828(1987)1:1(48).

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36

Park, Chun-Myoung. "Construction of Highly Performance Switching Circuit." Journal of the Institute of Electronics and Information Engineers 53, no. 12 (December 25, 2016): 88–93. http://dx.doi.org/10.5573/ieie.2016.53.12.088.

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37

Xu, Dong Ming, Qian Zhai, and Yuan Yang. "Performance Appraisal of Construction Enterprise Informatization." Applied Mechanics and Materials 438-439 (October 2013): 677–81. http://dx.doi.org/10.4028/www.scientific.net/amm.438-439.677.

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Performance appraisal is widely considered to be the critical factor of construction enterprise informatization. The 0-1 three scale method is used to determine the weights of factors to enhance convergence rate and uniformity of judgment matrix, the fuzzy consistent matrix is applied to decrease subjectivity, and fuzzy comprehensive evaluation is utilized to realize the appraisal at last. Use case to prove the method applicability of performance appraisal of construction enterprise informatization. The results show that the method established is more scientific and reasonable.

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38

Cheng, Min-Yuan, Hsing-Chih Tsai, and Yun-Yan Lai. "Construction management process reengineering performance measurements." Automation in Construction 18, no. 2 (March 2009): 183–93. http://dx.doi.org/10.1016/j.autcon.2008.07.005.

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Tam, Vivian W. Y., C. M. Tam, S. X. Zeng, and K. K. Chan. "Environmental performance measurement indicators in construction." Building and Environment 41, no. 2 (February 2006): 164–73. http://dx.doi.org/10.1016/j.buildenv.2005.01.009.

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40

Kog, Y. C., D. K. H. Chua, P. K. Loh, and E. J. Jaselskis. "Key determinants for construction schedule performance." International Journal of Project Management 17, no. 6 (December 1999): 351–59. http://dx.doi.org/10.1016/s0263-7863(98)00058-1.

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Tam, C. M., Vivian W. Y. Tam, and S. X. Zeng. "Environmental Performance Evaluation (EPE) for construction." Building Research & Information 30, no. 5 (September 2002): 349–61. http://dx.doi.org/10.1080/09613210210150964.

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42

Meade, Nigel, and Gerald R. Salkin. "Index Funds—Construction and Performance Measurement." Journal of the Operational Research Society 40, no. 10 (October 1989): 871–79. http://dx.doi.org/10.1057/jors.1989.155.

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43

Salleh, Mohd Azwan, Nagamuttu Narendranathan, Eng Choy Lee, and Qusanssori Noor Rusli. "Performance based pavement design and construction." IOP Conference Series: Materials Science and Engineering 512 (April 24, 2019): 012053. http://dx.doi.org/10.1088/1757-899x/512/1/012053.

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Abwunza, Allan A., Titus K. Peter, and Kariuki Muigua. "Explaining Time Performance of Construction Arbitration." Journal of Legal Affairs and Dispute Resolution in Engineering and Construction 13, no. 2 (May 2021): 04521001. http://dx.doi.org/10.1061/(asce)la.1943-4170.0000460.

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Deng, Fei, and Hedley Smyth. "Nature of Firm Performance in Construction." Journal of Construction Engineering and Management 140, no. 2 (February 2014): 04013040. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000778.

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BRIDLE, RC, PR VAUGHAN, and HN JONES. "EMPINGHAM DAM - DESIGN, CONSTRUCTION AND PERFORMANCE." Proceedings of the Institution of Civil Engineers 78, no. 2 (April 1985): 247–89. http://dx.doi.org/10.1680/iicep.1985.1002.

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Alsulamy, Saleh, Naren Gupta, and Brian Sloan. "Factors influencing municipal construction project performance." Proceedings of the Institution of Civil Engineers - Municipal Engineer 167, no. 2 (June 2014): 108–17. http://dx.doi.org/10.1680/muen.13.00029.

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48

Hildreth, John C., and Michael C. Vorster. "Learning Construction Performance Improvement through Planning." International Journal of Construction Education and Research 6, no. 2 (June 2010): 139–51. http://dx.doi.org/10.1080/15578771.2010.482872.

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49

Hegger, Josef, Markus Feldmann, Sabine Rauscher, and Oliver Hechler. "High-Performance Materials in Composite Construction." Structural Engineering International 19, no. 4 (November 2009): 438–46. http://dx.doi.org/10.2749/101686609789847019.

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Kadhim, Jabbar Abdalaali, and Abbass Oda Dawood. "Seismic Performance of Clay Bricks Construction." Civil Engineering Journal 6, no. 4 (April 1, 2020): 785–805. http://dx.doi.org/10.28991/cej-2020-03091508.

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Abstract:

The extensive use of masonry construction accompanied by the seismic hazard in Iraq requires comprehensive studies to assess the seismic performance of such construction. This study aims to evaluate the seismic performance of URM and CM buildings by their nonlinear time-history responses. ANSYS 18.2 software has been used to perform the nonlinear dynamic analyses. The mechanical properties have been investigated as the first step of the study. A simple mechanical instrument was improvised to determine the tensile strength of masonry directly. Ground motions were chosen in a manner so that their peak ground accelerations and site soils are as similar as possible to those in the South of Iraq. The computer software terminated all the analyses before the ends of the applied earthquake duration because of the solutions did not converge. In the numerical models, severe cracks have been observed in both URM and CM models, indicating their unsafe seismic performance. The minor cracks in confining concrete in the CM model compared to the severe ones in the masonry walls of the same model show the capability of the confinement to prevent the disintegration of collapsed masonry walls, at least in damaging cases like the building state at the solution termination.

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