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مهندسی سازه و ساخت

Actual Prestress Force Detection of Tendons in Prestressed Beams Based on Static Responses Using Genetic Algorithm

نوع مقاله : علمی - پژوهشی

نویسندگان
محمد شریفی 1
موسی محمودی 2
محمدقاسم سحاب 3
1 دانشجوی دکتری، دانشکده مهندسی عمران، دانشگاه تربیت دبیر شهید رجائئ، تهران، ایران
2 استاد، دانشکده مهندسی عمران، دانشگاه تربیت دبیر شهید رجائئ، تهران، ایران
3 دانشیار، دانشکده مهندسی عمران، دانشگاه تفرش، تفرش، ایران.
10.22065/jsce.2025.502521.3639
چکیده
Researchers' attention has recently been focused to the measurement and tracking of prestressing force in the tendons of prestressed concrete (PC) constructions. Older structures need non-destructive testing techniques to evaluate these forces, even if modern structures are fitted with sensors to monitor prestress losses. This work presents a new approach that uses static displacement data under experimental loads to determine the real prestress force in the tendons of a prestressed concrete beam. This approach offers a more economical alternative by doing away with the requirement for destructive tests or pre-installed sensors. A genetic algorithm (GA) is created to precisely calculate the prestress force of tendons. Laboratory testing shows that the proposed method can detect prestress losses with excellent accuracy, even in the presence of intentional measurement mistakes of up to 10%.Researchers' attention has recently been focused to the measurement and tracking of prestressing force in the tendons of prestressed concrete (PC) constructions. Older structures need non-destructive testing techniques to evaluate these forces, even if modern structures are fitted with sensors to monitor prestress losses. This work presents a new approach that uses static displacement data under experimental loads to determine the real prestress force in the tendons of a prestressed concrete beam. This approach offers a more economical alternative by doing away with the requirement for destructive tests or pre-installed sensors. A genetic algorithm (GA) is created to precisely calculate the prestress force of tendons. Laboratory testing shows that the proposed method can detect prestress losses with excellent accuracy, even in the presence of intentional measurement mistakes of up to 10%.
کلیدواژه‌ها
Health Monitoring
Prestressing Force
Prestressed Beams
Static Responses
Genetic Algorithm

موضوعات

عنوان مقاله English

Actual Prestress Force Detection of Tendons in Prestressed Beams Based on Static Responses Using Genetic Algorithm

نویسندگان English

Mohamad Sharifi 1
mussa mahmoudi 2
mohamad ghasem sahab 3
1 Ph.D candidate, Department of Civil Engineering, Shahid Rajaee University, Tehran, Iran
2 Professor, Department of Civil Engineering, Shahid Rajaee University, Tehran, Iran
3 Associate Professor, Department of Civil Engineering, Tafresh University, Tafresh, Iran
چکیده English

Researchers' attention has recently been focused to the measurement and tracking of prestressing force in the tendons of prestressed concrete (PC) constructions. Older structures need non-destructive testing techniques to evaluate these forces, even if modern structures are fitted with sensors to monitor prestress losses. This work presents a new approach that uses static displacement data under experimental loads to determine the real prestress force in the tendons of a prestressed concrete beam. This approach offers a more economical alternative by doing away with the requirement for destructive tests or pre-installed sensors. A genetic algorithm (GA) is created to precisely calculate the prestress force of tendons. Laboratory testing shows that the proposed method can detect prestress losses with excellent accuracy, even in the presence of intentional measurement mistakes of up to 10%.Researchers' attention has recently been focused to the measurement and tracking of prestressing force in the tendons of prestressed concrete (PC) constructions. Older structures need non-destructive testing techniques to evaluate these forces, even if modern structures are fitted with sensors to monitor prestress losses. This work presents a new approach that uses static displacement data under experimental loads to determine the real prestress force in the tendons of a prestressed concrete beam. This approach offers a more economical alternative by doing away with the requirement for destructive tests or pre-installed sensors. A genetic algorithm (GA) is created to precisely calculate the prestress force of tendons. Laboratory testing shows that the proposed method can detect prestress losses with excellent accuracy, even in the presence of intentional measurement mistakes of up to 10%.

کلیدواژه‌ها English

Health Monitoring
Prestressing Force
Prestressed Beams
Static Responses
Genetic Algorithm
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  • تاریخ دریافت 19 بهمن 1403
  • تاریخ بازنگری 13 اسفند 1403
  • تاریخ پذیرش 27 اسفند 1403