محاسبه فاصله ایمن درز انقطاع در سازه‌های با مشخصات متفاوت با استفاده از هوش مصنوعی

ﭼﮑﯿﺪه ﭘﻞﻫﺎ از اﻫﻤﯿﺖ ﺑﻪﺳﺰاﯾﯽ در ﻃﺮاﺣﯽ ﻣﺤﻮرﻫﺎی ﻋﺒﻮر و ﻣﺮور ﺷﻬﺮی ﺑﺮﺧﻮردار ﻣﯽﺑﺎﺷﻨﺪ. از آﻧﺠﺎﯾﯽ ﮐﻪ دﻫﺎﻧﻪ ﭘﻞﻫﺎ ﺑﻪﺻﻮرت ﻣﻨﻔﺮد و ﻋﻤﻮﻣﺎً ﯾﮏ ﺗﯿﺮ ﮔﯿﺮدار ﻃﺮاﺣﯽ و اﺟﺮا ﻣﯽﮔﺮدﻧﺪ، در ﻫﻨﮕﺎم ﺑﺎرﻫﺎی ﻟﺮزهای، ﻫﺮ ﮐﺪام از دﻫﺎﻧﻪﻫﺎ و ﻋﺮﺷﻪ ﭘﻞﻫﺎ رﻓﺘﺎر ﻣﺘﻔﺎوﺗﯽ از ﺧﻮد ﺑﺮوز داده و ﺗﻐﯿﯿﺮﻣﮑﺎنﻫﺎی ﺟﺎﻧﺒﯽ آﻧﻬﺎ ﺑﺮ اﺳﺎس ﺟﻨﺲ ﺳﺎزه و ﻫﻤﭽﻨﯿﻦ ﻣﻮد ارﺗﻌﺎﺷﯽ ﻫﺮ ﯾﮏ از آﻧﻬﺎ ﺑﻪوﺟﻮد ﻣﯽآﯾﺪ. ﺑﻪ اﯾﻦ ﻣﻨﻈﻮر، ﻫﺮ ﭘﻞ ﺑﻪ ﺻﻮرت ﯾﮏ ﺳﺎزه ﯾﮏ درﺟﻪ آزادی ﻣﺪل ﺷﺪه و ﺟﺮم ﭘﻞ و ﺳﺨﺘﯽ آن ﺑﻪﺻﻮرت ﯾﮏ ﺳﯿﺴﺘﻢ دﯾﻨﺎﻣﯿﮏ در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﻣﯽﺷﻮد. ﺑﺎ اﺳﺘﻔﺎده از زﻣﺎن ﺗﻨﺎوب و ارﺗﻔﺎع دو ﭘﻞ ﮐﻨﺎر ﻫﻢ و زﻟﺰﻟﻪ ﻣﻮرد ﺗﻘﺎﺿﺎ، ﻓﺎﺻﻠﻪ اﯾﻤﻦ ﺑﺮای ﺟﻠﻮﮔﯿﺮی از ﺑﺮﺧﻮرد دو دﻫﺎﻧﻪ ﭘﻞ ﺑﺎ اﺳﺘﻔﺎده از ﺷﺒﮑﻪ ﻋﺼﺒﯽ ﭘﯿﺸﻨﻬﺎد ﻣﯽﮔﺮدد. ﺑﺮای اﯾﻨﮑﺎر، ﮐﻠﯿﻪ ﭘﺎراﻣﺘﺮﻫﺎی ﻣﺆﺛﺮ زﻟﺰﻟﻪ و ﭘﻞ )ﺑﯿﺸﯿﻨﻪ ﺷﺘﺎب، ﺳﺮﻋﺖ و ﺟﺎﺑﺠﺎﯾﯽ، زﻣﺎن ﺗﻨﺎوب و ارﺗﻔﺎع ﭘﻞ( در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪه و ﺗﺤﺖ ﯾﮏ روﻧﺪ درﺧﺘﯽ و ﺑﺎ اﺳﺘﻔﺎده از ﺷﺒﮑﻪ ﻋﺼﺒﯽ ﭘﯿﺸﻨﻬﺎد ﻣﯽﮔﺮدد. در ﺻﻮرﺗﯽ ﮐﻪ ﻓﺎﺻﻠﻪ ﻋﺮﺷﻪ ﭘﻞﻫﺎ رﻋﺎﯾﺖ ﻧﮕﺮدد، ﺿﺮﺑﻪ ﺑﯿﻦ دو ﻋﺮﺷﻪ رخ داده و ﺑﺎﻋﺚ اﯾﺠﺎد ﺗﺨﺮﯾﺐ ﻣﯽﮔﺮدد. ﺑﻪ ﻃﻮر ﻣﺜﺎل و ﺑﺎ اﺳﺘﻔﺎده از رواﺑﻂ ﭘﯿﺸﻨﻬﺎدی در اﯾﻦ ﻣﻘﺎﻟﻪ، اﮔﺮ ﻋﺮﺷﻪ ﭘﻠﯽ ﺑﺎ زﻣﺎن ﺗﻨﺎوب 0/1 ﺛﺎﻧﯿﻪ در ﮐﻨﺎر ﻋﺮﺷﻪای ﺑﺎ زﻣﺎن ﺗﻨﺎوب 0/25 ،0/15 و ﯾﺎ 0/35 ﺛﺎﻧﯿﻪ و ﺗﺤﺖ زﻟﺰﻟﻪ ﺑﺎ ﺑﯿﺸﯿﻨﻪ ﺷﺘﺎب 500 ﺳﺎﻧﺘﯽﻣﺘﺮ ﺑﺮ ﻣﺠﺬور ﺛﺎﻧﯿﻪ ﻗﺮار ﮔﯿﺮد، ﻧﯿﺎز ﺑﻪ ﻓﺎﺻﻠﻪ اﯾﻤﻨﯽ در ﺣﺪود 4/6 ،4/1 و 5 ﺳﺎﻧﺘﯽﻣﺘﺮ دارد ﺗﺎ از ﺑﺮﺧﻮرد و ﺗﺨﺮﯾﺐ ﻋﺮﺷﻪ ﭘﻞﻫﺎ ﺟﻠﻮﮔﯿﺮی ﺷﻮد

DETERMINATION OF CRITICAL DISTANCE IN BRIDGE WITH DIFFERENET PROPERTIES USING NEURAL NETWORK

Undoubtedly, bridges have substantially effect in metropolitan areas and are usually built to connect between two roads in order to decrease traffic. Pounding, is one of the important parameters to design different bridges Pounding, is one of the important parameters to design different bridges as this structures should be controlled during seismic excitation to provide safety conditions in order to organize and support unpredictable situations. During very strong earthquake, bridges may experience large horizontal relative displacement, which may lead to pounding if sufficient gap size is not considered between adjacent slabs of bridge. Insufficient separation distance is naturally caused to collide between two slabs and, subsequently, stiffness of bridge is decreased and finally, collapse is occurred. In order to determine critical distance between two slabs, a mathematical program is used based on neural network to coordinate the result of analyses in order to calculate sufficient separation distance for avoiding collisions during earthquake.