INVESTIGATION OF THE SURFACE FAULT RUPTURE MITIGATION BY NUMERICAL MODELLING
سال انتشار: 1390
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,288
فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
SEE06_398
تاریخ نمایه سازی: 16 اردیبهشت 1390
چکیده مقاله:
In regions where soils overlie active faults, structures must be designed for risk of failure due to excessive permanent soil deformations induced by surface fault rupture, in addition to adequately designed against dynamic loads during a severe earthquake. Although our understanding of the dynamic response of structures are improved in current practice, relatively recent earthquakes such as the 1999 Chi-Chi earthquake in Taiwan and the 1999 Kocaeli and Duzce earthquake in Turkey have reminded the profession of the devasting effects of earthquake surface fault rupture on facilities and engineered structures and much more efforts must be devoted to improving our understanding of fault rupture propagation through soil and how ground movements associated with surface faulting affect structures. This paper contributes to the understanding of the investigation of the earthquake surface fault rupture hazards by numerical modelling. Non- linear numerical modelling is applied to analyse fault rupture propagation in the free field, ignoring the presencs of a structure, and then with knowing the location of rupture outcropping, the analysis is performed regard one potential mitigation scheme by using geogrids in the soil near surface. The results indicate that the geogrids reinforcement is effective in mitigating the significant hazards associated with earthquake fault rupture.
کلیدواژه ها:
نویسندگان
s.m moosavi
Ph.D. Graduate ,Geotechnical Engineering Research Center, International Institute of Earthquake Engineering and Seismology (IIEES),Tehran ,IRAN
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :