بررسی احتمال وقوع روانگرایی و تخمین اهمیت نسبی پارامترهای مؤثر با استفاده از خوشه‌بندی فازی و برنامه‌ریزی ژنتیک

نوع مقاله : مقاله کامل پژوهشی

نویسندگان

1 گروه مهندسی عمران، واحد تبریز، دانشگاه آزاد اسلامی تبریز

2 گروه مهندسی صنایع، واحد زنجان، دانشگاه آزاد اسلامی زنجان

چکیده

روانگرایی خاک در اثر حوادث طبیعی یا انسان­ساز به دلیل وارد آوردن خسارات مالی و گاهی جانی، جزء مباحث مهمی بوده است که در چند دهه اخیر توجه محققین امر را به خود جلب کرده است. در این بین بررسی احتمال وقوع روانگرایی خاک در اثر تحرکات لرزه­ای زمین و البته شناخت پارامترهای مؤثر بر این امر بسیار حائز اهمیت می­باشد. لذا در این مطالعه، ابتدا با استفاده از روش خوشه­بندی فازی، داده­های مطالعه موردی به گروه­هایی از اعضای مشابه با خاصیت فیزیکی یکسان تقسیم گردیدند. سپس با توجه به نتایج خوشه­بندی و بررسی داده­های طبقه­بندی شده در هر خوشه میزان حساسیت و تأثیر هر یک از پارامترهای مؤثر در روانگرایی خاک پرداخته شد. نتایج حاصل نشان داد گروه سه خوشه­ای بهترین حالت را از نظر تفکیک داده­ها با ویژگی­های نزدیک به هم در هر خوشه ارائه کرده است. نتایج تحلیل حساسیت پارامترها نیز حاکی از تأثیر بالای پارامترهای عدد آزمایش نفوذ استاندارد (SPT) اصلاحی و حداکثر شتاب زلزله و تأثیر ناچیز عمق خاک در روانگرایی خاک بود. همچنین سعی شد با استفاده از داده­های محلی آزمایش SPT جمع­آوری شده از روانگرایی­های به وقوع پیوسته در اثر زلزله در نقاط مختلف جهان (نیگاتای ژاپن و چی- چی تایوان)، مدلی به منظور بررسی احتمال وقوع روانگرایی با استفاده از روش برنامه­ریزی ژنتیک توسعه داده شود. نتایج به دست آمده حاکی از دقت قابل قبول تخمین انجام شده به منظور احتمال وقوع روانگرایی بوده که مدلی با دقت معادل 77/94 درصد ارائه کرد.

کلیدواژه‌ها

عنوان مقاله [English]

The Study of the Liquefaction Probability and Estimation of the Relative Importance of Effective Parameters Using Fuzzy Clustering and Genetic Programming

نویسندگان [English]

  • Armin Sahebkaram Alamdari 1
  • Amir Najafi 2
1 Department of Civil Engineering, Islamic Azad University, Tabriz branch
2 Department of Industrial Engineering, Islamic Azad University, Zanjan branch
چکیده [English]

During several past decades, many researchers have conducted studies to develop the relationship between liquefaction resistance and seismic parameters of various soils. One of the methods to assess liquefaction which is widely used is the stress-based method, which was presented for the first time by Seed and Idriss (1971) and Whitman (1971). That is an experimental method and is based on experimental and local observations.
Anyway, the relationships developed by the use of the traditional method based on experimental data are limited and don’t provide a proper and stable prediction, they also don't show major weaknesses in mathematical relations, complete structure and heterogeneous space of soil and liquefaction, while soils have quite complicated structures, there is simpler methods of examination that allow unlimited development of a model for all systems, such as genetic programming (GP), artificial neural networks (ANNS) and Neuro-fuzzy inference system (ANFIS) (Shahin et al., 2003). In this study, using fuzzy clustering, it has been initially tried to divide data to groups whose members are similar and have relatively same properties. So data with similar geotechnical and seismic properties can be placed in a cluster and hence, a closer study of the data to better understand the factors affecting soil liquefaction can be possible. Next, a model was presented for time estimation of the soil liquefaction probability using the method of genetic programming. Finally, considering the results of the conducted clustering and the study of data in each cluster, the sensitivity of parameters affecting soil liquefaction and their relative importance were analyzed using nonlinear methods.

کلیدواژه‌ها [English]

  • Probability
  • genetic programming
  • Fuzzy clustering
  • soil liquefaction

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نشریه مهندسی عمران و محیط زیست دانشگاه تبریز
دوره 47.4، شماره 89 - شماره پیاپی 89
زمستان 96
اسفند 1396
صفحه 37-46

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