Optimization of pile group design using an intelligent design algorithm | |
| Author | Neti Sakunphanich |
| Call Number | AIT Thesis no.GE-17-07 |
| Subject(s) | Pile foundations Algorithm |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Geotechnical and Earth Resources Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis; no. GE-17-07 |
| Abstract | Pile foundation is necessary for every heavy structure, such as high - rise building, bridge, and etc. To design foundation, many equations and steps are use, as well, they contain many parameters with many variable. Geotechnical engineer usually design pile foundation under their experiences, but results still not be optimum due to limit of human which could not deal with very huge number of variables. Performing of optimization may be the way aiding human to deal with that task. With this alternative method, SmartDO ( Smart Design Optimization ) operates and bases on some optimizing algorithms, called Genetic algorithm and Direct search method. These algorithms have been using in world - wide and also shown good results, for example, structure design work, instrument design, and material reduction works. As well as those resu lts, this thesis expects results with improved design, mean to reduce construction cost, but remain efficiency. Procedures of optimization can be described in short here . Firstly, ANSYS FE model simulated geotechnical analysis. Design variable was defined separately. Then, SmartDO retrieved variables and run optimization under Recursive Conjugated Feasible Direction Method ( RCFDM ) algorithm. One cycle optimized variables were granted back to ANSYS and recalculated, this procedure is so called reversed analysis. Results of the analyses were created, then SmartDO retrieved values again and checked for constraints and boundary. The steps were repeated until values is optimum. Results shown significant improvement in design variables. They had significant change in cost reduction. However, designing with ANSYS may need to improve. Due to the study was conducted as first order, simulation was conducted with simplest analysis. Thus, this may lead to unnatural behavior of soil and foundation, for example interface between soil and pile, but assumptions were stated |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. GE-17-07 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Geotechnical Engineering (GE) |
| Chairperson(s) | Kuo Chieh Chao; |
| Examination Committee(s) | Noppadol Phien-wej;Pham Huy Giao; |
| Scholarship Donor(s) | Royal Thai Government Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2018 |