Proceedings of the Sixth International Conference on
Soft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering最新文献
{"title":"Topology optimization of acoustic-structural systems based on deep transfer learning framework for enhancing sound quality","authors":"L. Xu, W.S. Zhang, X. Guo","doi":"10.4203/ccc.5.2.6","DOIUrl":"https://doi.org/10.4203/ccc.5.2.6","url":null,"abstract":"","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124952374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. M. Rad, M. Habashneh, R. Cucuzza, M. Domaneschi, J. Melchiorre
{"title":"Enhancing thermal topology optimization with an elasto-plastic algorithm","authors":"M. M. Rad, M. Habashneh, R. Cucuzza, M. Domaneschi, J. Melchiorre","doi":"10.4203/ccc.5.1.6","DOIUrl":"https://doi.org/10.4203/ccc.5.1.6","url":null,"abstract":"","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"254 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113983185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Comparison of Neural Networks and Random Forest for predicting the subsurface tensile strength of cementitious composites containing waste materials","authors":"S. Czarnecki, M. Moj","doi":"10.4203/ccc.5.3.2","DOIUrl":"https://doi.org/10.4203/ccc.5.3.2","url":null,"abstract":"","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131247297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A Chakraborty, C. Anitescu, S. Goswami, X. Zhuang, T. Rabczuk
{"title":"Domain decomposition deep energy method for phase field analysis in brittle fracture","authors":"A Chakraborty, C. Anitescu, S. Goswami, X. Zhuang, T. Rabczuk","doi":"10.4203/ccc.5.4.1","DOIUrl":"https://doi.org/10.4203/ccc.5.4.1","url":null,"abstract":"","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"696 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121995010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A stepwise Bayesian updating approach by enhancing an active learning Gaussian process regression model","authors":"J. Song, W. Zhang","doi":"10.4203/ccc.5.2.5","DOIUrl":"https://doi.org/10.4203/ccc.5.2.5","url":null,"abstract":"","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125382913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Eco-friendly mortars with granite powder and fly ash and their prediction with artificial neural networks","authors":"S. Malazdrewicz, L. Sadowski","doi":"10.4203/ccc.5.3.1","DOIUrl":"https://doi.org/10.4203/ccc.5.3.1","url":null,"abstract":"","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114654302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the practice of robust optimality design, robust and deterministic optimal configurations are usually expected to differ. Therefore, most research in this area tries to illustrate the effect of uncertainty by comparing robust and deterministic designs, which is not generalizable because it is easy to define a non-symmetric case in which the robust expected-compliance minimum and the nominal-compliance minimum design will be the same. This anomaly requires new techniques that allow for deeper insights. In this paper, an anomaly-resolving strategy is presented for such cases when the nominal and robust compliance are the same in the optimization of a volume-constrained continuous topology with directionally uncertain loads.
{"title":"A Tractable Robust Topology Optimization for Anomalous Non-Symmetric Cases","authors":"A. Csébfalvi, J. Lógó","doi":"10.4203/ccc.5.1.2","DOIUrl":"https://doi.org/10.4203/ccc.5.1.2","url":null,"abstract":"In the practice of robust optimality design, robust and deterministic optimal configurations are usually expected to differ. Therefore, most research in this area tries to illustrate the effect of uncertainty by comparing robust and deterministic designs, which is not generalizable because it is easy to define a non-symmetric case in which the robust expected-compliance minimum and the nominal-compliance minimum design will be the same. This anomaly requires new techniques that allow for deeper insights. In this paper, an anomaly-resolving strategy is presented for such cases when the nominal and robust compliance are the same in the optimization of a volume-constrained continuous topology with directionally uncertain loads.","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129328864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of bowstring tied-arch concrete bridges","authors":"Alberto M. B. Martins, L. Simões, J. Negrão","doi":"10.4203/ccc.5.1.9","DOIUrl":"https://doi.org/10.4203/ccc.5.1.9","url":null,"abstract":"","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132789378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To optimize the transportation of designated waste from the Great East Japan Earthquake, which contains radioactive material and poses risks to the environment and public safety, a cost function was formulated to create a transportation plan using quantum annealing, a computational method that specializes in solving combinatorial optimization problems. This method can be performed using actual quantum annealing machines with more than 5,000 qubits that are currently available. The study evaluates the feasibility of using quantum annealing to optimize the transportation planning of designated waste and increase efficiency while minimizing risks.
{"title":"Optimizing Transportation Plans of Designated Radioactive Waste Using Quantum Annealing","authors":"N. Yabuki, J. Makino, T. Fukuda","doi":"10.4203/ccc.5.1.7","DOIUrl":"https://doi.org/10.4203/ccc.5.1.7","url":null,"abstract":"To optimize the transportation of designated waste from the Great East Japan Earthquake, which contains radioactive material and poses risks to the environment and public safety, a cost function was formulated to create a transportation plan using quantum annealing, a computational method that specializes in solving combinatorial optimization problems. This method can be performed using actual quantum annealing machines with more than 5,000 qubits that are currently available. The study evaluates the feasibility of using quantum annealing to optimize the transportation planning of designated waste and increase efficiency while minimizing risks.","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130380642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sketch driven machine-learning based topology optimization","authors":"Y. Wang, W. Zhang, S. Youn, X. Guo","doi":"10.4203/ccc.5.2.4","DOIUrl":"https://doi.org/10.4203/ccc.5.2.4","url":null,"abstract":"","PeriodicalId":326697,"journal":{"name":"Proceedings of the Sixth International Conference on\nSoft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134640356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Proceedings of the Sixth International Conference on
Soft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering
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