當地震災害發生時，醫院提供醫療，學校提供避難，醫院與學校所扮演的救災角色不容忽視。但是，縱使醫院及學校建築的結構體只有些微損壞，由於非結構物受損，醫院無法有效提供緊急醫療工作，學校無法提供適當的避難場所，則使救災淪為空談。因此，在建築物耐震設計流程中，針對建築耐震能力的規定，除了提升建築物結構體，同時也應該提昇醫院及學校非結構物的耐震能力，以維護地震後醫院的救災能力及學校的避難功能。
本研究係以1999年921集集地震的41家受災醫院與2006年台東地震及恆春地震的56所受災學校建築物中非結構物為震害調查對象，建立非結構物的易損性曲線，評估建築物中非結構物損壞的機率，進而探討醫院與學校建築物中非結構物的修復金額與學校非結構物的修復工期，建立合理的預測模式，作為往後評估地震災損時的參考。
在易損性曲線方面，經分析問卷調查表內各項非結構物的損壞情形後，將之分為輕度、中度、重度損壞以進行損壞分析。最後提供醫院中三類共26項及學校中10項非結構物的易損性曲線。在評估非結構物的修復金額與修復工期機率曲線時，在醫院方面，發現各項定義中多量的修復金額，以「機械設備」為最大，其次為「醫療儀器設備」，最低為「資訊設備。因此，在醫院建築中，機械設備若無適當的耐震能力，如果遭受地震破壞，則可能造成昂貴的修復金額。在學校方面，發現外牆壁面佔修復金額與修復工期的最大宗，其次則為隔間磚牆、輕鋼架天花板、屋頂女兒牆及檔案儲存櫃。由此可見，在學校建築中，隔間磚牆若無適當的耐震能力，如果遭受地震破壞，則可能造成較長的修復工期，而且倘若隔間磚牆損壞或甚至是整片塌陷，都會導致空間使用受阻，造成避難空間不足且不安全，甚或有人員傷亡，不可不慎重面對之。
依本文建立的損壞機率易損性曲線，可作為新建築物或原有建築物中，實施非結構物耐震措施的參考；修復金額與修復工期機率曲線，則可作為醫院或學校建築物中震害發生時，非結構物損壞修復金額與工期的參考，減少震後損失並增進震後重建效率。

The damage of nonstructural components resulting in interruption of emergency medical care in hospital and emergent shelters for the local residents in school which can happen when hospitals or school experience a larger seismic intensity scale. Hence, the seismic-resistant capacity of structure and nonstructural component of hospital or school buildings have to be raised at the same time.
In this study, 41 hospital buildings in the Chi-Chi earthquake and 56 school buildings in the Taitung earthquake on April 1st and the Heng-Chun earthquake on December 26th , 2006 were investigated with damaged nonstructural components by means of questionnaire.
For fragility curves, the nonstructural components were classified damage states of each nonstructural component listed in questionnaire sheets into no, slight, moderate, and extensive damage level. Finally, fragility curves for 26 nonstructural items of 3 categories in hospitals and 10 nonstructural items in school buildings were developed for future applications.
From the concept of fragility curve and using the PGA as the independent variable, this study also offers a prediction to the repair cost and recovery time which could be used as a reference to assess future earthquake loss.
This study shows that the machine equipment in hospital and the exterior walls in school buildings are the most expensive nonstructural items in repair cost and recovery time. Using the fragility curves from this study, the damage prediction for nonstructural components in hospital or school buildings can be practiced. The probability curves of repair cost and recovery time could be a reference to increase the rebuild efficiency after an earthquake.

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