Some background of monitoring and NDT also useful for timber structures

被引:15
作者
Kurz, Jochen H. [1 ]
Boller, Christian [1 ,2 ]
机构
[1] Fraunhofer Inst Nondestruct Testing IZFP, Campus E3 1, D-66123 Saarbrucken, Germany
[2] Saarland Univ, NDT & Qual Assurance, D-66123 Saarbrucken, Germany
关键词
Monitoring; Non-destructive testing; Civil engineering; Timber; Concrete; Steel; Condition assessment;
D O I
10.1007/s13349-015-0105-z
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Extension of the life of existing and historic timber structures has increased steadily in the last decade. Sustainability and low carbon emission have influenced activities in the construction industry. In the frame of the European COST Action FP 1101, several activities related to timber structures have been clustered. The COST Action FP 1101 consists of three working groups, namely Assessment (Working Group 1), Reinforcement (Working Group 2) and Monitoring (Working Group 3) of Timber Structures. This special issue of the Journal of Civil Structural Health Monitoring gives an overview of timber structure monitoring activities mainly from a European perspective. This paper is an introduction to this special issue and gives an overview of monitoring concepts and applications related to non-destructive testing (NDT). The prime intention is to give contextual crosslinks to other fields in which NDT methods and monitoring principles have already been developed so that synergies can be realized for timber structures. Outside urgent structural safety issues, monitoring of timber structures has the potential to become a state of the art technology for which material models and NDT-based sensors allow a design criterion for an optimized and highly efficient use of said structures. The sensor concepts may further be enhanced, however, with possible lower cost alternatives in terms of sensors and electronics.
引用
收藏
页码:99 / 106
页数:8
相关论文
共 13 条
  • [1] Review of Nondestructive Testing (NDT) Techniques for Timber Structures
    Azzi, Ziad
    Al Sayegh, Houssam
    Metwally, Omar
    Eissa, Mohamed
    INFRASTRUCTURES, 2025, 10 (02)
  • [2] Assessment, Reinforcement and Monitoring of Timber Structures - COST FP1101.
    Kasal, Bo
    STRUCTURAL HEALTH ASSESSMENT OF TIMBER STRUCTURES, 2013, 778 : 1037 - 1040
  • [3] TECHNOLOGY OF MONITORING AND TESTING FOR ANCIENT TIMBER STRUCTURES
    Wang, J.
    Yang, N.
    Yang, Q. S.
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON INSPECTION APPRAISAL REPAIRS AND MAINTENANCE OF STRUCTURES, VOLS 1 AND 2, 2010, : 1091 - 1099
  • [4] Monitoring building climate and timber moisture gradient in large-span timber structures
    Dietsch, Philipp
    Gamper, Andreas
    Merk, Michael
    Winter, Stefan
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2015, 5 (02) : 153 - 165
  • [5] Health monitoring of steel structures based on acoustic and electromagnetic methods of NDT
    Boller, Christian
    Fox, Christian
    Starke, Peter
    Wu, Haoran
    Doktor, Markus
    Kurz, Wolfgang
    BAUTECHNIK, 2017, 94 (10) : 717 - 725
  • [6] Schedule based NDT and structural health monitoring of safety critical composite structures
    Petculescu, Gabriela
    Achenbach, Jan D.
    MATERIALS EVALUATION, 2007, 65 (07) : 731 - 739
  • [7] Structural health monitoring (SHM) and Nondestructive testing (NDT) of slender masonry structures: A practical review
    Pallares, Francisco J.
    Betti, Michele
    Bartoli, Gianni
    Pallares, Luis
    CONSTRUCTION AND BUILDING MATERIALS, 2021, 297
  • [8] Structural health monitoring of timber structures - Review of available methods and case studies
    Palma, Pedro
    Steiger, Rene
    CONSTRUCTION AND BUILDING MATERIALS, 2020, 248
  • [9] A numerical approach for the hygro-thermal monitoring of timber structures under environmental conditions
    Genoese, Alessandra
    Genoese, Andrea
    Fortino, Stefania
    Hradil, Petr
    STRUCTURAL HEALTH ASSESSMENT OF TIMBER STRUCTURES, 2013, 778 : 786 - 793
  • [10] Monitoring moisture content of timber structures using PZT-enabled sensing and machine learning
    Chen, Lin
    Xiong, Haibei
    He, Yufeng
    Li, Xiuquan
    Kong, Qingzhao
    SMART STRUCTURES AND SYSTEMS, 2022, 29 (04) : 589 - 598