مشخصات مقاله | |
ترجمه عنوان مقاله |
ارزیابی عملکرد لرزه ای سیستم های قاب سازه ای بتن آرمه در موقعیت داده های بزرگ |
عنوان انگلیسی مقاله | Evaluation of Seismic Performance of Reinforced Concrete Frame Structures in the Context of Big Data |
انتشار | مقاله سال 2019 |
تعداد صفحات مقاله انگلیسی | 15 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه هینداوی |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس نمیباشد |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
مدل مفهومی | ندارد |
پرسشنامه | ندارد |
متغیر | ندارد |
رفرنس | دارد |
رشته های مرتبط | مهندسی عمران |
گرایش های مرتبط | سازه، مدیریت ساخت، زلزله |
نوع ارائه مقاله |
ژورنال |
مجله | پیچیدگی – Complexity |
دانشگاه | Urban and Rural Construction Institute, Agricultural University of Hebei, Baoding, Hebei 071001, China |
شناسه دیجیتال – doi |
https://doi.org/10.1155/2019/4126739 |
کد محصول | E12525 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
1- Introduction
2- Hadoop Dynamic Evaluation System for Seismic Performance 3- Evaluation Rules for Seismic Performance of New-Build Reinforced Concrete Frame Structures 4- Dynamic Evaluation of Seismic Performance of Reinforced Concrete Frame Structures at Present 5- Example Analysis 6- Conclusion References |
بخشی از متن مقاله: |
Introduction The seismic evaluation theory for building structures with reinforced concrete structure performance is based on the investigation and statistics of a large number of seismic damage data and scientific analysis. With the advent of the era of big data, the accuracy, comprehensiveness, and efficiency of the evaluation of seismic performance have also increased. He et al. estimated the seismic performance of rural residential buildings in Guangzhou from the aspects of building structure, building age, and building fortification and put forward the countermeasures and suggestions for earthquake prevention and disaster reduction of rural residential buildings. The flaws of the seismic evaluation theory and the seismic design theory gradually exposed. The American scholar J. P. Moehle [1] first proposed the concept of structural seismic design thought based on structure displacement but did not use abundant building big data. This article introduces the open source distributed and storage features of the Hadoop architecture cloud platform as a subproject of the Apache Nutch project. The Hadoop cloud platform features high scalability, high fault tolerance, and flexible deployment. The storage platform is secure, stable, and reliable. MapReduce distributed computing is one of the core components of the Hadoop platform. It was first introduced by Google. It is a model and framework for computing task processing in the context of big data [2]. 6- Conclusion Based on the seismic performance evaluation method of structural displacement, this paper follows the idea of large data processing with distributed computing. Based on the large reinforced concrete data of high-rise buildings and the seismic performance evaluation of new buildings and existing buildings, an efficient evaluation model for seismic performance of reinforced concrete frame structures is established and the seismic characteristics of floors are analyzed. |