Digitalisierung von Infrastrukturbauwerken zur Bauwerksüberwachung: Structural Health Monitoring

Project Partners:

Technical University of Munich, Chair of Non-Destructive Testing.

Helmut-Schmidt-Universität/University of the Federal Armed Forces in Hamburg.

 

Project Description:

Structural Health Monitoring (SHM) refers to the non-destructive and continuous monitoring of the condition of structures using a network of embedded or external sensors of various types. These sensors generate periodic or real-time data that is systematically collected, analyzed, and stored. This data provides critical insights into a structure's reliability, focusing on its load-bearing capacity, serviceability, and durability. Moreover, SHM enables the early identification of developing defects, ensuring timely interventions. 

This project is the second phase, continuing the work started through the “Reliability-based Structural Health Monitoring of Highway Bridges” (2021-2024). In the first phase, two methods for the performance evaluation of algorithms for damage detection and localization, so-called Predictive Probability of Detection (P-POD) and Predictive Probability of Localization (P-POL) curves, were developed specifically for SHM applications. Yet, a comprehensive condition assessment goes beyond detection and localization of damage. Building on the foundations set by the first phase of the project, the goal for the second phase is to go a step further into the development and implementation of advanced methods for reliability-based digital condition assessment of existing infrastructure using data from various sensors. 

 

Start: 01.01.2025

Duration: 2 years

Funding: Centre of Digitization and Technology Transfer (DTEC.bw)

TUM Participants: Chair of Non-Destructive Testing: Prof. Christian U. Grosse, Ana Eugenia Menendez Orellana