پتانسیل روان گرایی خاک بستر دریا
ترجمه نشده

پتانسیل روان گرایی خاک بستر دریا

عنوان فارسی مقاله: ارزیابی پتانسیل روان گرایی خاک بستر دریا در مزرعه بادی دریایی ChangBin با توجه به عدم قطعیت پارامتری تست های نفوذ استاندارد
عنوان انگلیسی مقاله: Assessment on liquefaction potential of seabed soil in ChangBin Offshore wind farm considering parametric uncertainty of standard penetration tests
مجله/کنفرانس: زمین شناسی مهندسی – Engineering Geology
رشته های تحصیلی مرتبط: مهندسی عمران
گرایش های تحصیلی مرتبط: ژئوتکنیک، سازه های دریایی
کلمات کلیدی فارسی: باد دریایی، روان گرایی، روش مونته کارلو، تجزیه و تحلیل ریسک
کلمات کلیدی انگلیسی: Offshore wind; liquefaction; Monte Carlo method; Risk analysis
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.enggeo.2020.105497
دانشگاه: Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan 701, Taiwan
صفحات مقاله انگلیسی: 38
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2020
ایمپکت فاکتور: 4.433 در سال 2019
شاخص H_index: 111 در سال 2020
شاخص SJR: 2.209 در سال 2019
شناسه ISSN: 0013-7952
شاخص Quartile (چارک): Q1 در سال 2019
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14524
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

۱٫ Introduction

۲٫ NJRA deterministic approach for soil liquefaction potential assessment

۳٫ Statistical Characteristics of SPT-N Values of potential Sites in Chang-Bin Offshore Wind Farm, Taiwan

۴٫ Analysis of liquefaction potential of seabed soil in the Chang-Bin offshore wind farm

۵٫ Conclusion

Declaration of Competing Interest

Acknowledgments

References

بخشی از مقاله (انگلیسی)

Abstract

Liquefaction potential analysis is a required task in the foundation design process of offshore wind turbine in Taiwan. The standard penetration test (SPT) is mostly used in the preliminary soil investigation of the pilot offshore wind farm in Chang-Bin, Taiwan. Due to the different experimental conditions and operating conditions, the N value (SPT-N) of SPT varies greatly. This study applies statistical methods in conjunction with the New Japan Road Association simplified-empirical method (NJRA method) to incorporate the uncertainty of SPT-N values into the offshore liquefaction potential assessment to quantify the risk of seabed liquefaction. The study statistics the field experimental geotechnical parameters SPT-N and determines the probability density function of the SPT-N distribution of each layer of soil in the offshore wind farm. In order to quantify the risk of seabed soil liquefaction potential, the Monte Carlo random sampling method is used, and by the NJRA method to carry out the seabed liquefaction potential in Changhua, Taiwan. After comparing, the results obtained by the current SPT-based soil liquefaction potential assessment by deterministic approach are conservative. In the ground investigation of offshore wind farm development, the method proposed in this paper can access the thickness of liquefiable soil layers under any given probability for optimizing offshore wind turbine foundation design.

Introduction

The Chang-Bin offshore wind farm of Taiwan Power Company is located in the offshore area of Changhua. The preliminary geotechnical investigation results show that the seabed of Chang-Bin offshore wind farm in Taiwan is mainly composed of silty sand (SM) and low plasticity clay (CL), it contains a small number of low plasticity silt (ML) and silty poorly graded sand (SP-SM) [CSC (2017), Hai-Shia Offshore Wind Energy Co., LtD. (2017a, 2017b), Chien at al. (2014), TORI (2012), TPC (2012, 2018)].. The soil within 80 meters below the seabed can be roughly divided into three layers. The uppermost layer is mainly loose to medium dense sand (SPT-N<30) and the depth is about 25 meters. The soil conditions of Taiwan’s offshore wind farm are very different from the offshore wind farm in the North Sea [Le at al. (2014)]. For a sandy soil within 20 meters of the surface depth, it is highly likely that soil liquefaction will occur when an earthquake occurs [Seed and Idriss (1971)]. The soil liquefaction potential can assess by deterministic approach in Taiwan, which the SPT-N based soil liquefaction potential semi-empirical analysis method is the common adopted in the engineering design in Taiwan [JRA (1996), CPA (2011)], However, soil liquefaction can be affected by soil layer distribution, soil properties, seismic wave transmission, stress conditions, etc. Therefore, quantifying the risk of soil liquefaction in highly seismic region is essential for the development of offshore wind farms.