Integrated genetic search for identification of material properties and dynamic excitations
In the last decade, genetic algorithms (GAs) have been widely used as search techniques. Their success is attributed to their little mathematical requirements about the problems and high effectiveness at performing global search. Recent research has shown that genetic programming (GP) is powerful in...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2008
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| Online Access: | https://hdl.handle.net/10356/12085 |
| _version_ | 1811680009333506048 |
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| author | Wang, Chao |
| author2 | Soh Chee Kiong |
| author_facet | Soh Chee Kiong Wang, Chao |
| author_sort | Wang, Chao |
| collection | NTU |
| description | In the last decade, genetic algorithms (GAs) have been widely used as search techniques. Their success is attributed to their little mathematical requirements about the problems and high effectiveness at performing global search. Recent research has shown that genetic programming (GP) is powerful in various problems solving, as well as having certain advantages over GAs. To improve the effectiveness of GP, three general search techniques, namely the inGAP, the GP+LBS and the GP+NLP, which integrate the merits of different local search operators (LSOs) (i.e., the GA, the linear bisection search (LBS) and the nonlinear programming (NLP)) and GP, are developed. The GA based method is proposed to identify the rock dynamic properties and aluminum foam dynamic properties, respectively. The GP and the proposed inGAP/GP+LBS/GP+NLP based methods are proposed to solve the force and ground motion identification problems, respectively.One obvious merit of the proposed GP and inGAP/GP+LBS/GP+NLP based methods is that they can obtain the explicit expression of the unknown force/ground motion. Another advantage is that they only need the dynamic response data at one point, i.e., displacement or velocity or acceleration of one degree-of-freedom. |
| first_indexed | 2024-10-01T03:18:14Z |
| format | Thesis |
| id | ntu-10356/12085 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:18:14Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/120852023-03-03T19:11:26Z Integrated genetic search for identification of material properties and dynamic excitations Wang, Chao Soh Chee Kiong School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Structures and design In the last decade, genetic algorithms (GAs) have been widely used as search techniques. Their success is attributed to their little mathematical requirements about the problems and high effectiveness at performing global search. Recent research has shown that genetic programming (GP) is powerful in various problems solving, as well as having certain advantages over GAs. To improve the effectiveness of GP, three general search techniques, namely the inGAP, the GP+LBS and the GP+NLP, which integrate the merits of different local search operators (LSOs) (i.e., the GA, the linear bisection search (LBS) and the nonlinear programming (NLP)) and GP, are developed. The GA based method is proposed to identify the rock dynamic properties and aluminum foam dynamic properties, respectively. The GP and the proposed inGAP/GP+LBS/GP+NLP based methods are proposed to solve the force and ground motion identification problems, respectively.One obvious merit of the proposed GP and inGAP/GP+LBS/GP+NLP based methods is that they can obtain the explicit expression of the unknown force/ground motion. Another advantage is that they only need the dynamic response data at one point, i.e., displacement or velocity or acceleration of one degree-of-freedom. Doctor of Philosophy (CEE) 2008-09-25T06:36:40Z 2008-09-25T06:36:40Z 2005 2005 Thesis Wang, C. (2005). Integrated genetic search for identification of material properties and dynamic excitations. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/12085 10.32657/10356/12085 en Nanyang Technological University 235 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Civil engineering::Structures and design Wang, Chao Integrated genetic search for identification of material properties and dynamic excitations |
| title | Integrated genetic search for identification of material properties and dynamic excitations |
| title_full | Integrated genetic search for identification of material properties and dynamic excitations |
| title_fullStr | Integrated genetic search for identification of material properties and dynamic excitations |
| title_full_unstemmed | Integrated genetic search for identification of material properties and dynamic excitations |
| title_short | Integrated genetic search for identification of material properties and dynamic excitations |
| title_sort | integrated genetic search for identification of material properties and dynamic excitations |
| topic | DRNTU::Engineering::Civil engineering::Structures and design |
| url | https://hdl.handle.net/10356/12085 |
| work_keys_str_mv | AT wangchao integratedgeneticsearchforidentificationofmaterialpropertiesanddynamicexcitations |