| 摘要: | 台灣土地資源有限，為因應產業擴充，生活品質提昇，使得公共工程必須不斷投資與推動，尤其在都市地區地價昂貴，導致建築紛紛往高空發展，因此為增加結構之穩定性，基樁基礎的使用也越來越多。傳統上全套管基樁基礎一般均採用試誤法的程序來設計，雖能符合規範要求及安全考量，但工程造價並非最低，且計算時間費時效率不佳，尤其在樁數需求甚多及目前砂石價格高漲，就會對工程成本有相當大的影響。本研究為改善此問題，在安全及經濟原則下，發展一快速簡便之最佳化初選模式，以幫助設計人員作決策之參考。 本研究利用非線性數學規劃理論，運用LINGO軟體，由已知參數及限制條件，求得基樁的樁徑、樁長、樁距、樁數等符合低成本之最佳解。在求解過程中，當地質、載重、或單價成本改變時，可隨時依最新條件調整參數，重新規劃設計模式。另由敏感度分析中，更可了解參數變化對工程造價之影響程度，進而檢討基樁規格及設計尺寸之選用，以達到節省成本的目的。本研究以案例測試後，並比較本研究模式與傳統方法之績效差異，結果顯示良好。本研究內容可靈活運用於基樁設計，顯具效率且實用性。 Taiwan land resources are limited. With a view to expanding industry and the promotion of life quality, we have to invest in public projects earnestly and boost them. The land prices in urban areas are especially high, which leads to the construction of skyscrapers. Therefore, to increase the stability of the structures, pile foundation is of more use. Traditionally, all-casing pile foundation is designed by the procedure of trial and error. Though it can answer to the satisfaction of requirements and safety consideration, its building cost is not the lowest, nor is its effectiveness. At the present time, because the grit’s price runs high, and the sizable demands, it will have tremendous effect on the project cost. The purpose of this study is to solve this problem and to develop a fast, simple and convenient model of primary optimization in order to offer a reference to designers making decisions. This study utilizes non-linear mathematics to plan the theory, using LINGO software and finding out the diameter pile, length of pile, distance between piles and the number of piles through the known parameter and confided conditions, for the best solution to low costs. During the course of resolution, geology, load or the unit price changes, we can adjust the parameter to the latest condition at anytime and re-plan the model. With sensitivity analysis, we can understand the influence on the engineering project cost by the parameter change. Then, further the specification of the designs and sizes of the piles for the purpose of saving costs. After this study is tested with the case, comparing the performance differences between this study model and traditional method, the result shows well. The contents of this study can be applied to each pile designing flexibly, so will they show effectiveness and practicality. |
