Numerical Modeling and Simulation are increasingly used as a complementary tool to Experimental Modeling and Analysis and as a design or certification tool in engineering applications. However, after more than thirty years of scientific investigation around Adaptive Modeling and Simulation, the problem of properly assessing and controlling the quality of the numerical solutions still represents a relevant issue in the scientific community. Nowadays, it is well-established that a certain maturity has been reached in this context, as well as calculations for industrial applications can be verified and error bounds can be provided in many cases. Nevertheless, the design of sophisticated engineering systems requires increasingly complex and coupled modeling and verification tools are still lacking in these cases. Furthermore, new challenges characterize the actual industrial demands, such as fast calculations for real-time decision making, design optimization, inverse analysis, simulation-based control, in particular in the presence of uncertainty.
The main goal of the ADMOS 2017 conference is to provide a forum for presenting and discussing the current state-of-the-art achievements on Adaptive Modeling and Simulation, including theoretical models, numerical methods, algorithmic strategies and challenging engineering applications.
ADMOS is one of the conferences that launched the ECCOMAS series of thematic events, in 2003.
It is a medium-size conference (an average of about 80-100 delegates), which allows for dynamic and fruitful
exchanges between participants.
After seven successful editions, held successively in Göteborg in 2003, Barcelona in 2005, Göteborg in 2007,
Bruxelles in 2009, Paris in 2011, Lisbon in 2013, and Nantes in 2015,
the eighth edition of ADMOS will take place at Verbania (Italy) on June 26-28, 2017.
ADMOS 2017 is jointly organized by Politecnico di Milano, Universitat Politècnica de Catalunya and CIMNE and it is promoted by the European Committee in Solids and Structural Mechanics (ECSSM) of ECCOMAS.