seismic zoning of tehran region using fuzzy sets

نویسندگان

الهام بوستان

استادیار، گروه زمین شناسی دانشگاه آزاد اسلامی واحد کرج، ایران نوربخش میرزائی

دانشیار، مؤسسه ژئوفیزیک دانشگاه تهران، ایران مرتضی اسکندری قادی

دانشیار، گروه علوم پایه مهندسی دانشکده فنی دانشگاه تهران ، ایران علی شفیعی

استادیار، پژوهشگاه بین المللی زلزله شناسی و مهندسی زلزله، تهران، ایران

چکیده

seismic hazard assessment like many other issues in seismology is a complicated problem, which is due to variety of parameters affecting the occurrence of earthquake. uncertainty, which is a result of vagueness and incompleteness of the data, should be considered in a rationale way. herein, fuzzy set theory is used to take into account the uncertainty existed in the seismic hazard analysis. the fuzzy set theory (fst) is an attractive methodology when vague and subjective judgments of a unique phenomenon enter probabilistic or mathematical models. fuzzy sets are sets whose elements have degrees of membership. in classical set theory, the membership of elements in a set is assessed in binary terms according to a bivalent condition; an element either belongs or does not belong to the set. by contrast, fuzzy set theory permits the gradual assessment of the membership of elements in a set; this is described with the aid of a membership function valued in the real unit interval [0, 1]. fuzzy sets generalize classical sets, since the indicator functions of classical sets are special cases of the membership functions of fuzzy sets, if the latter only take values 0 or 1. in fuzzy set theory, classical bivalent sets are usually called crisp sets. tehran is a densely populated metropolitan in which more than 10 million people live. many destructive earthquakes happened in iran in the last centuries. it comes from historical references that at least 6 times, tehran has been destroyed by catastrophic earthquakes. the oldest one happened in the 4th century bc. in this study, seismic hazard assessment of tehran region, capital city of iran, is conducted using a combination of probabilistic approach and fuzzy sets theory. the earthquake catalog used in the current study contains occurrence times and hypocentre locations of iranian earthquakes and is derived from the seismic catalog published by mirzaei et al (2002) for earthquakes during 1975 to 2000. the international seismological centre catalog (www.isc.ac.uk) was used to update the catalog data up until the year 2007. in order to calculate seismic hazard for different return periods in probabilistic procedure for the tehran region, an area encompassed by the 49.5°–54°e longitudes and 34°–37°n latitudes has been divided by 0.1° intervals generating 1350 grid points. seismicity parameters are evaluated using the method in which magnitude uncertainty and incompleteness of earthquake data are considered. a total of 20 area potential seismic sources are introduced, and several seismicity rates and b-values, maximum expected magnitudes are assigned to each of seismotectonic province and potential seismic sources. to carry out seismic hazard analysis in the framework of fuzzy sets theory, all of the variables converted into triangular fuzzy sets with -cut method. eventually, the fuzzy response is defuzzified using the surface center method. two maps are developed to indicate the earthquake hazard of the region in the form of iso-acceleration contours. they display a fuzzy-probabilistic estimate of peak ground acceleration (pga) over bedrock for the return periods of 475 and 50 years. pga values for this region are estimated to be 0.35g-0.38g and 0.12g-0.15g for 475- and 50-years return periods, respectively. outcomes of this study would contribute for the quick and better estimation of the seismic design of structures.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

PRICING STOCK OPTIONS USING FUZZY SETS

We use the basic binomial option pricing method but allow someor all the parameters in the model to be uncertain and model this uncertaintyusing fuzzy numbers. We show that with the fuzzy model we can, with areasonably small number of steps, consider almost all possible future stockprices; whereas the crisp model can consider only n + 1 prices after n steps.

متن کامل

Classification of Hindi numeral using Fuzzy Zoning and SVM

Zoning is widely used for obtaining topological features of handwritten characters. In this paper we have modified the zoning criteria using fuzzy boundary of individual zones keeping the point in mind that writing style of different persons may shift the structural pattern of the character from one zone to the adjacent zone. The zone-wise normalized distance of individual black pixel along wit...

متن کامل

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

15 صفحه اول

Predicting Seismic Slope Displacements of Embankment Dams Using Fuzzy Systems

Iran, as a leading country in the dam construction industry, is located in one of the earthquake-prone regions of the world. Dams are important sources of hydroelectric power. Failure of these structures causes catastrophic damage. Therefore, evaluating the behavior of dams under seismic loading is an important issue. The present study focuses on the prediction of the slope displacements of emb...

متن کامل

seismic wave velocity in the tehran seismic network region

the velocity data of seismic waves in a region has an important role in locating occurred events. information such as velocity ratio of vp/vs and velocity curves for pg, pn, sg, and sn phases directly affect the locating results. it is well known that the vp/vs ratio can be used to predict lithology, and that s-waves are sensitive to microcracks aligned by the present day stress field. also, th...

متن کامل

The Prevalence of Urban Areas Vulnerability to Seismic Risk (A Case Study of Region One, Tehran)

Urban planning rules and considering land use regarding faults can change the consequences of natural hazard such as earthquake. Vulnerability risk is increasing in Region 1 because of existence of the north fault, steep slopes and continuous construction of high-rise buildings. It is clear that Region 1’s Master Plan shouldn’t be prepared without considering natural hazard such as ...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
فیزیک زمین و فضا

جلد ۳۸، شماره ۲، صفحات ۲۹-۴۴

کلمات کلیدی
seismic hazard assessment like many other issues in seismology is a complicated problem which is due to variety of parameters affecting the occurrence of earthquake. uncertainty which is a result of vagueness and incompleteness of the data should be considered in a rationale way. herein fuzzy set theory is used to take into account the uncertainty existed in the seismic hazard analysis. the fuzzy set theory (fst) is an attractive methodology when vague and subjective judgments of a unique phenomenon enter probabilistic or mathematical models. fuzzy sets are sets whose elements have degrees of membership. in classical set theory the membership of elements in a set is assessed in binary terms according to a bivalent condition; an element either belongs or does not belong to the set. by contrast fuzzy set theory permits the gradual assessment of the membership of elements in a set; this is described with the aid of a membership function valued in the real unit interval [0 1]. fuzzy sets generalize classical sets since the indicator functions of classical sets are special cases of the membership functions of fuzzy sets if the latter only take values 0 or 1. in fuzzy set theory classical bivalent sets are usually called crisp sets. tehran is a densely populated metropolitan in which more than 10 million people live. many destructive earthquakes happened in iran in the last centuries. it comes from historical references that at least 6 times tehran has been destroyed by catastrophic earthquakes. the oldest one happened in the 4th century bc. in this study seismic hazard assessment of tehran region capital city of iran is conducted using a combination of probabilistic approach and fuzzy sets theory. the earthquake catalog used in the current study contains occurrence times and hypocentre locations of iranian earthquakes and is derived from the seismic catalog published by mirzaei et al (2002) for earthquakes during 1975 to 2000. the international seismological centre catalog (www.isc.ac.uk) was used to update the catalog data up until the year 2007. in order to calculate seismic hazard for different return periods in probabilistic procedure for the tehran region an area encompassed by the 49.5°–54°e longitudes and 34°–37°n latitudes has been divided by 0.1° intervals generating 1350 grid points. seismicity parameters are evaluated using the method in which magnitude uncertainty and incompleteness of earthquake data are considered. a total of 20 area potential seismic sources are introduced and several seismicity rates and b values maximum expected magnitudes are assigned to each of seismotectonic province and potential seismic sources. to carry out seismic hazard analysis in the framework of fuzzy sets theory all of the variables converted into triangular fuzzy sets with cut method. eventually the fuzzy response is defuzzified using the surface center method. two maps are developed to indicate the earthquake hazard of the region in the form of iso acceleration contours. they display a fuzzy probabilistic estimate of peak ground acceleration (pga) over bedrock for the return periods of 475 and 50 years. pga values for this region are estimated to be 0.35g 0.38g and 0.12g 0.15g for 475 and 50 years return periods respectively. outcomes of this study would contribute for the quick and better estimation of the seismic design of structures.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023