1. SHM systems supporting extension of the structures’ service life

   • Wolfgang R. Habel

   Editorial 26 November 2013 Pages: 225 - 226

2. Structural health monitoring of the Roman Arena of Verona, Italy

   • Filippo Lorenzoni
   • Filippo Casarin
   • Francesca da Porto

   Original Paper 12 November 2013 Pages: 227 - 246

   

3. Challenges in the analysis of inhomogeneous structural monitoring data

   • Werner Lienhart

   Original Paper 06 August 2013 Pages: 247 - 255

   

4. Optimal sensor placement in the lightweight steel framing structures using the novel TTFD approach subjected to near-fault earthquakes

   • Seyed Kazem Sadat Shokouhi
   • Hamid Reza Vosoughifar

   Original Paper 10 August 2013 Pages: 257 - 267

   

5. A new damage detection method for bridge condition assessment in structural health monitoring

   • Ayaho Miyamoto

   Original Paper 20 September 2013 Pages: 269 - 284

   

6. NDT for need based maintenance of bridge cables, ropes and pre-stressed elements

   • Jochen H. Kurz
   • Laurent Laguerre
   • Fabien Treyssede

   Original Paper 04 August 2013 Pages: 285 - 295

   

7. Damage detection and classification in pipework using acousto-ultrasonics and non-linear data-driven modelling

   • Miguel Angel Torres-Arredondo
   • Inka Buethe
   • Claus-Peter Fritzen

   Original Paper 05 September 2013 Pages: 297 - 306

   

8. Small damage detection of real steel bridge by using local excitation method

   • Toshiyuki Oshima
   • Yasunori Miyamori
   • Maria Fabijanska Kopacz

   Original Paper 09 October 2013 Pages: 307 - 315

   

9. Probabilistic method for estimating remaining fatigue life in steel bridges using measured strain data

   • Jeremiah Fasl
   • Todd Helwig
   • Sharon L. Wood

   Original Paper 05 September 2013 Pages: 317 - 324

   

10. Particle relaxation method of Monte Carlo filter for structure system identification

    • Tadanobu Sato

    Original Paper 02 October 2013 Pages: 325 - 334

    

11. The economic case for service life extension of structures using structural health monitoring based on the delayed cost of borrowing

    • Douglas J. Thomson

    Original Paper 10 October 2013 Pages: 335 - 340