現有非線性分析模擬技術已能掌握結構系統於地震力作用下之整體反應與其細部構件之行為，使得數值分析成為評估結構物耐震能力最詳細可靠的方法，美國FEMA 之規範已建議以非線性推垮分析評估結構物於不同程度地震力之作用下之破壞型式與可靠度，以作為結構物設計與維護補強工作之依據。
分析模擬結果之正確性大多仰賴能正確地模擬結構物行為之數值模型之建立，而結構物數值模型建立之工作需由結構工程師，根據結構物之設計資料與現況，依其專業與經驗之判斷來完成，相較於後續由電腦執行之分析計算，此實為高度仰賴專業人力之耗時工作，然而中小學校舍多為型式規則之結構物，應有提出標準化與參數化之數值模型建立模式之可能，以輔助結構工程師以自動或半自動的方式快速有效率地建立各校舍不同詳細程度之非線性數值模型。
校舍之非線性數值模型，除了需有校舍整體結構之幾何尺寸外，尚需有能正確模擬結構構件行為之非線性元素或構件模型，故本研究除了持續發展與擴充現有之校舍資料庫外，另將彙整國內外結構構件行為模擬之研究成果並建立一個結構構件非線性模型庫，其除了可做為支援使用者建模決策之知識庫外，本研究並將進一步提出標準化之整合此兩個資料庫中資料以建立中小學校舍結構數值模型之模式，並將此模式設計開發成為系統，利用此系統，可自動地基於現有資料庫之資料，依需要快速地自動產生我國各校舍建物不同詳細程度之數值模型，供校舍相關之耐震評估與災損分析使用。
結構構件非線性模型庫中之構件模型，可以是完全基於實驗結果之回歸曲線或公式，或是基於構件行為以少數簡單的非線性元素所構成，經實驗校準之簡化模型，本研究將根據這些模型之儲存、搜尋、與使用等需求提出結構構件非線性模型庫之資料庫綱要與使用者介面規劃。至於現有校舍資料庫之擴充與發展方面，本研究也將進一步收集並整合部分校舍之詳細資料，例如設計圖說等，以供校舍詳細分析模擬工作之所需，以及相關研究之參考。

The current nonlinear structural analysis technology has achieved that the nonlinear response of a structure or a structural component can be accurately simulated. The reliability of a nonlinear analysis result highly depends on the validity of the analytical model. A valid analytical model must be able to numerically describe the realistic post-damage behavior of the structure. In present, the National Center for Research on Earthquake Engineering (NCREE) in Taiwan has established a database for school buildings. The database contains surveying data of over 12,000 school buildings in Taiwan. Since most of school buildings were built based on a few standard plans, it is possible to automatically create linear-elastic model for school buildings by a standard procedure using some school building data, which has been collected in school building database, as parameters. To build a nonlinear model, however, requires nonlinear elements or nonlinear models for simulating the nonlinear behaviors of various structural components. The knowledge on structural component modeling cannot be automatically generated by a computer program. In order to fulfill the automatic modeling of school building for nonlinear analysis, this research established a structural component model database by collecting various structural component models in various details. By considering the characteristics of and relationships between the modeling entities, this paper proposes data structure and database schema for storing structural component models. The proposed structural component model database alone can serve as a decision supporting system for building nonlinear analytical models. Furthermore, since all the modeling information is available either in school building database or structural component model database, a standard procedure to automatically generate school building models by querying the two databases based on user’s selections is proposed.

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