Decision analysis and scenarios for the assessment of existing timber structures

Author:

Stepinac Mislav1,Rajčić Vlatka1,Honfi Dániel2ORCID

Affiliation:

1. University of Zagreb, Croatia

2. RISE Research Institute of Sweden, Gothenburg, Sweden

Abstract

<p>Condition assessment of existing timber structures is typically followed by a decision about intervention options, and consequently comparing various possible scenarios. These decisions are based on the updated knowledge obtained through the assessment. Condition assessments, however, can be done in multiple ways, e.g. basic visual assessment of a structure, assessment with various destructive, non-destructive and semi-destructive testing methods, interpretation of a data from structural health monitoring, various levels of structural modelling and safety verification formats. The present paper discusses how pre-posterior decision analysis can guide decisions concerning the condition assessment of timber structures by selecting appropriate assessment procedures and subsequent maintenance actions.</p>

Publisher

International Association for Bridge and Structural Engineering (IABSE)

Reference35 articles.

1. http://www.cost-tu1402.eu

2. , IABSE Symposium: Tomorrow’s Megastructures, Nantes, France, 19-21 September 2018

3. V. Rajčić and C. Colla, "Correlation between destructive and four NDT techniques tests on his-toric timber elements," in 1st European Conference of Cultural Heritage Pro-tection, 2012, pp. 148–155.

4. C. Colla and V. Rajčić, "Laboratory and on- site testing activities part 3 - Historical timber elements, Report of SMooHS European FP7 project," 2012.

5. Guideline on the assessment of timber structures: Summary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3