Optimum Design of Cantilever Retaining Wall

碩士 === 國立中央大學 === 土木工程研究所 === 96 === This thesis presents the application of optimal algorithm to the minimum cost design of cantilever retaining wall. The design variables include five independent variables: width of stem at the top, width of stem at the bottom, total width of base, length of toe,...

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Main Authors: Tsung-Wei Chu, 朱琮瑋
Other Authors: Jin-Hung Hwang
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/792722
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spelling ndltd-TW-096NCU050150252019-05-15T19:18:53Z http://ndltd.ncl.edu.tw/handle/792722 Optimum Design of Cantilever Retaining Wall 懸臂式擋土牆最佳化設計之研究 Tsung-Wei Chu 朱琮瑋 碩士 國立中央大學 土木工程研究所 96 This thesis presents the application of optimal algorithm to the minimum cost design of cantilever retaining wall. The design variables include five independent variables: width of stem at the top, width of stem at the bottom, total width of base, length of toe, and depth of base; three dependent variables: width of key, depth of key and position of key. The constrained conditions involve design codes of Taiwan and lateral displacement of retaining wall (1/200). The objective function is the combined costs of soil excavation, retaining wall, and soil backfill. The optimal algorithm is the real-coded genetic algorithm (RGA). Based on the above concept, the automatically optimal design program of cantilever retaining wall was developed by the commercial software of Visual Basic 2005. The design drawing of bar arrangement; the quantities of soil excavation, backfill and concrete, and the number of steels would automatically output after finishing the optimal analysis. Subsequently, the case study was conducted to verify the efficiency and validity of the algorithm by comparing the solutions with the global optimum solutions obtained from exhaustive search method (ESM). The dimensions of the testing example were suggested by the road engineering standard design drawing with a little rational assumption for some unknown conditions. Among the designed dimensions, the width of key, depth of key and position of key were fixed, and the rest variables were covered in optimal analysis. From the results, RGA can find the optimum solutions from ESM, and spend less time than ESM. The error between RGA and ESM solution are about 0.1%. Jin-Hung Hwang 黃俊鴻 2008 學位論文 ; thesis 133 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中央大學 === 土木工程研究所 === 96 === This thesis presents the application of optimal algorithm to the minimum cost design of cantilever retaining wall. The design variables include five independent variables: width of stem at the top, width of stem at the bottom, total width of base, length of toe, and depth of base; three dependent variables: width of key, depth of key and position of key. The constrained conditions involve design codes of Taiwan and lateral displacement of retaining wall (1/200). The objective function is the combined costs of soil excavation, retaining wall, and soil backfill. The optimal algorithm is the real-coded genetic algorithm (RGA). Based on the above concept, the automatically optimal design program of cantilever retaining wall was developed by the commercial software of Visual Basic 2005. The design drawing of bar arrangement; the quantities of soil excavation, backfill and concrete, and the number of steels would automatically output after finishing the optimal analysis. Subsequently, the case study was conducted to verify the efficiency and validity of the algorithm by comparing the solutions with the global optimum solutions obtained from exhaustive search method (ESM). The dimensions of the testing example were suggested by the road engineering standard design drawing with a little rational assumption for some unknown conditions. Among the designed dimensions, the width of key, depth of key and position of key were fixed, and the rest variables were covered in optimal analysis. From the results, RGA can find the optimum solutions from ESM, and spend less time than ESM. The error between RGA and ESM solution are about 0.1%.
author2 Jin-Hung Hwang
author_facet Jin-Hung Hwang
Tsung-Wei Chu
朱琮瑋
author Tsung-Wei Chu
朱琮瑋
spellingShingle Tsung-Wei Chu
朱琮瑋
Optimum Design of Cantilever Retaining Wall
author_sort Tsung-Wei Chu
title Optimum Design of Cantilever Retaining Wall
title_short Optimum Design of Cantilever Retaining Wall
title_full Optimum Design of Cantilever Retaining Wall
title_fullStr Optimum Design of Cantilever Retaining Wall
title_full_unstemmed Optimum Design of Cantilever Retaining Wall
title_sort optimum design of cantilever retaining wall
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/792722
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