Performance Analysis of Simulation-based Multi-objective Optimization of Bridge Construction Processes Using High Performance Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Performance Analysis of Simulation-based Multi-objective Optimization of Bridge Construction Processes Using High Performance Computing write by Shide Salimi. This book was released on 2015. Performance Analysis of Simulation-based Multi-objective Optimization of Bridge Construction Processes Using High Performance Computing available in PDF, EPUB and Kindle. Bridges constitute a crucial component of urban highways due to the complexity and uncertain nature of their construction process. Simulation is an alternative method of analyzing and planning the construction processes, especially the ones with repetitive and cyclic nature, and it helps managers to make appropriate decisions. Furthermore, there is an inverse relationship between the cost and time of a project and finding a proper trade-off between these two key elements using optimization methods is important. Thus, the integration of simulation models with optimization techniques leads to an advancement in the decision making process. In addition, the large number of resources required in complex and large scale bridge construction projects results in a very large search space. Therefore, there is a need for using parallel computing in order to reduce the computational time of the simulation-based optimization. Most of the construction simulation tools need an integration platform to be combined with optimization techniques. Also, these simulation tools are not usually compatible with Linux environment which is used in most of the massive parallel computing systems or clusters. In this research, an integrated simulation-based optimization framework is proposed within one platform to alleviate those limitations. A master-slave (or global) parallel Genetic Algorithm (GA) is used as a parallel computing technique to decrease the computation time and to efficiently use the full capacity of the computer. In addition, sensitivity analysis is applied to identify the promising configuration for GA and analyzing the impact of GA parameters on the overall performance of the specific simulation-based optimization problem used in this research. Finally, a case study is implemented and tested on a server machine as well as a cluster to explore the feasibility of the proposed approach. The results of this research showed better performance of the proposed framework in comparison with other GA optimization techniques from the points of view of the quality of the optimum solutions and the computation time. Also, acceptable improvements in the computation time were achieved for both deterministic and probabilistic simulation models using master-salve parallel paradigm (8.32 and 20.3 times speedups were achieved using 12 cores, respectively). Moreover, performing the proposed framework on multiple nodes using a cluster system led to 31% saving on the computation time on average. Furthermore, the GA was tuned using sensitivity analyses which resulted in the best parameters (500 generations, population size of 200 and 0.7 as the crossover probability).
Improving Stochastic Simulation-based Optimization for Selecting Construction Method of Precast Box Girder Bridges
Improving Stochastic Simulation-based Optimization for Selecting Construction Method of Precast Box Girder Bridges - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Improving Stochastic Simulation-based Optimization for Selecting Construction Method of Precast Box Girder Bridges write by Mohammed Mawlana. This book was released on 2015. Improving Stochastic Simulation-based Optimization for Selecting Construction Method of Precast Box Girder Bridges available in PDF, EPUB and Kindle. A large amount of reconstruction work is expected on existing highways due to the fact that highway infrastructures in North America are approaching or have surpassed their service life. The literature of construction engineering and management suggest that urban highway construction projects often overrun in budget and time. Bridges are crucial elements of urban highways, therefore, efficient planning of the construction of bridges is deemed necessary. Bridge construction operations are characterized as equipment-intensive, repetitive, have cyclic nature and involve high uncertainties. Without selecting the best construction method and the optimum number of equipment and crews, projects will take longer and cost more than necessary. The main objectives of this research are to: (1) develop a quantitative method that is capable of obtaining near optimum construction scenarios for bridge construction projects; and (2) obtain these optimum scenarios with an accurate estimate of their objective functions, a high confidence in their optimality and within a short period of time. The ability of stochastic simulation-based optimization to find near optimum solutions is affected mainly by: (1) the number of candidate solutions generated by the optimization algorithm; and (2) the number of simulation replications required for each candidate solution to achieve a desirable statistical estimate. As a result, a compromise between the accuracy of the estimate of the performance measure index of a candidate solution and the optimality of that candidate solution must be made. Moreover, comparing the performance of different candidate solutions based on the mean values is not accurate because the means of the two objectives (i.e., cost and time) are not always the means of the joint distribution of the two objectives. Finally, the resulting near optimum solutions are not necessarily achievable. In order to achieve the abovementioned objectives, the following research developments were made: (1) a stochastic simulation-based multi-objective optimization model; (2) a method for incorporating variance reduction techniques into the proposed model; (3) a method to execute the proposed model in parallel computing environment on a single multi-core processor; and (4) a method to apply joint probability to the outcome of the proposed model. The proposed methods showed an average of 84% reduction in the computation time and an average of 18% improvement in the hypervolume indicator over the traditional method when variance reduction techniques are used. Combining variance reduction computing with parallel computing resulted in a time saving of 90%. The use of the joint probability method showed an improvement over the traditional method in the accuracy of selecting the project duration (D) and cost (C) combination that satisfies a certain joint probability. For simulation models with high correlation between the outputs, ?D and ?C are not as large as in simulation models with moderate or low correlation, which indicates the existence of a negative relationship between correlation and ?D and ?C. In addition, the existence of high correlation permits the reduction of the number of simulation replications required to get a sound estimation of a project, which also indicates the existence of a negative relationship between correlation and the number of replications required.
High Performance Computing in Structural Engineering
High Performance Computing in Structural Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook High Performance Computing in Structural Engineering write by Hojjat Adeli. This book was released on 1998-11-30. High Performance Computing in Structural Engineering available in PDF, EPUB and Kindle. High-performance multiprocessor computers provide new and interesting opportunities to solve large-scale structural engineering problems. However, the development of new computational models and algorithms that exploit the unique architecture of these machines remains a challenge. High Performance Computing in Structural Engineering explores the use of supercomputers with vectorization and parallel processing capabilities in structural engineering applications. The book focuses on the optimization of large structures subjected to the complicated, implicit, and discontinuous constraints of commonly used design codes and presents robust parallel-algorithms for analysis of these structures. The authors apply the algorithms to and analyze the performance of minimum weight designs of large, steel space trusses and moment-resisting frames, with or without bracings, consisting of discrete standard shapes. They clearly show that adroit and judicious use of vectorization techniques can improved the speedup of an optimization algorithm, and that parallel processing can lead to even further speedup. With its review of the necessary background material, generous illustrations, and unique content, this is the definitive resource for the analysis and optimization of structure on shared-memory multiprocessor computers. By extension, High Performance Computing in Structural Engineering will prove equally valuable in distributed computing on a cluster of workstations
Dissertation Abstracts International
Dissertation Abstracts International - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Dissertation Abstracts International write by . This book was released on 2005. Dissertation Abstracts International available in PDF, EPUB and Kindle.
ICSETPSD 2023
ICSETPSD 2023 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook ICSETPSD 2023 write by Baskaran Jeevarathinam. This book was released on 2024-01-23. ICSETPSD 2023 available in PDF, EPUB and Kindle. The International Conference on Science, Engineering and Technology Practices for Sustainable Development (ICSETPSD-23) brought researchers, scientists, engineers, industrial professionals, and scholar students for the dissemination of original research results, new ideas, and practical development experiences which concentrate on both theory and practices from around the world in all the areas of science, engineering, and technology practices for sustainable development. The theme of ICSETPSD-23 was “Science, Engineering and Technology for sustainable development”. The technical program of ICSETPSD-23 consisted of 140 full papers, scheduled for oral presentation sessions at the main conference tracks. The conference tracks were: Track 1 – Science for sustainable development; Track 2 – Sustainability through Engineering; Track 3 – Sustainable developments in Health Care; and Track 4 – Technology practices for sustainability. Aside from the high quality technical paper presentations, the technical program also featured eight keynote speeches and one invited talk. We strongly believe that ICSETPSD-23 conference provides a good forum for all researchers, developers, and practitioners to discuss all science and technology aspects that are relevant to sustainable developments. We also expect that the future ICSETPSD conference will be as successful and stimulating, as indicated by the contributions presented in this volume.
