Research

The Institute of Digital and Autonomous Construction (IDAC) conducts interdisciplinary research in a broad wealth of areas related to digitalization in engineering. Integrating sensing, control, and information technologies, the IDAC team members work at the boundaries between traditional civil/environmental engineering and related engineering disciplines, such as computer science, robotics, mathematics, material science, and electrical engineering.

Areas of application include, but are not limited to cyber-physical systems, intelligent structures, smart sensing and actuation, cognitive buildings, additive manufacturing as well as abstract and traditional information modeling strategies ("BIM") and artificial intelligence techniques for Industry 4.0 and IoT applications. Representing vital elements of the IDAC research infrastructure, the institute hosts

  • A smart sensing lab and
  • An additive manufacturing lab.

Our research is sponsored primarily by the German Research Foundation, the European Union, German federal ministries, and industrial foundations. We are working in close collaboration with industrial partners and with leading national and international research institutions. We are looking forward to initiating new collaborations focusing on basic research and on applied research with industrial partners. Feel free to contact us. Selected recent research projects are listed below.

Selected research projects

Project titleFunding source/Project typeDuration

Resilient infrastructure based on cognitive buildings
 
German Research Foundation (DFG)2021 - 2024

Explainable fault diagnosis for smart cities
 
German Research Foundation (DFG)2021 - 2024

Semantic modeling of additive manufacturing processes of metal structures
 
German Federal Ministry of Education and Research (BMBF): MaterialDigital2021 - 2024

Computerized production robot for additive manufacturing in civil engineering ("Concrete printer")
 
German Research Foundation (DFG) /
Free State of Thuringia
Since 2020

Research group "Intelligent materials – Functionalization of smart materials under multi-field requirements for transport infrastructure"
 
Carl Zeiss Foundation2020 - 2025

Research group "Impact of climate change on buildings and urban districts – Structural integrity, indoor climate, and energy efficiency"
 
European Social Fund (ESF) /
Thuringian Ministry for Economic Affairs, Science and Digital Society (TMWWDG)
2020 - 2022

Data-driven analysis models for slender structures using explainable artificial intelligence
 
German Research Foundation (DFG)2019 - 2021

Fault-tolerant wireless structural health monitoring based on frame analysis and deep learning
 
German Research Foundation (DFG)2019 - 2021

BIM4FIBER
 
Cooperation with South Westphalia University of Applied SciencesSince 2019

BIM-based information modeling for semantic description of intelligent structural health monitoring systems
 
German Research Foundation (DFG)2018 - 2021

Semi-probabilistic, sensor-based design concepts for intelligent structural systems
 
German Research Foundation (DFG)2018 - 2021

Facility information modeling – Implementation methodology and economic aspects
 
PhD project (external)Since 2018

Metaization concept for structural health monitoring
 
German Research Foundation (DFG)2017 - 2021

Dafmon – Data-driven fault diagnosis in structural health monitoring systems for civil infrastructure1
 
German Federal Ministry of Transport and Digital Infrastructure (BMVI): mFund2019 - 2020

Research group "Digital roads – Intelligent transport infrastructure for automated and networked driving"1 
 
European Social Fund (ESF) / Thuringian Ministry for Economic Affairs, Science and Digital Society (TMWWDG)2018 - 2020

ILMA – Integral lifecycle management for wastewater treatment1
 
German Federal Ministry of Education and Research (BMBF): KMU innovativ2017 - 2020

Structural health monitoring laboratory (SHM lab)1 
 
European Fund for Regional Development (EFRD) / Thuringian Ministry for Economic Affairs, Science and Digital Society (TMWWDG)Since 2017

BIM-based simulation of structures using IFC elements and sensor data1
 
German Research Foundation (DFG)2015 - 2016

Automated infrastructure planning of fiber optic networks1
 
Cooperation with South Westphalia University of Applied Sciences2014 - 2020

Sensor-based, hybrid partial models for decentralized condition assessment of civil engineering structures1
 
German Research Foundation (DFG)2014 - 2017

Robust construction scheduling – Methods for incorporating uncertainties into the generation and assessment of construction schedules1
 
Thüringer Graduiertenförderung, a program of the Free State of Thuringia, Germany, supporting graduate students2014 - 2017

The projects marked with a 1 have been completed at Bauhaus University Weimar (PI: Professor Dr. Kay Smarsly).