Editorial

This volume collects 52 papers, invited after selection among the 90 presentations given at the DAS 2017 - 34th Danubia Adria Symposium on Advances in Experimental Mechanics, 19 - 22 September 2017, Trieste, Italy, organized by prof. Francesca Cosmi, Department of Engineering and Architecture at University of Trieste and M2Test srl, under the patronage of the Danubia-Adria Society on Experimental Methods (DAS) and its Italian Member Organization, Società Scientifica Italiana di Progettazione Meccanica e Costruzione di Macchine (AIAS). During the Symposium, the Members of the Scientific Committee of the Danubia-Adria Society on Experimental Methods (http://das.tuwien.ac.at) ensured a high standard selective evaluation process of the presentations given at DAS 2017. Each presentation was rated by at least 2 reviewers and, following a final discussion within the DAS Scientific Committee, the Authors of the top presentations were invited to submit a full paper. Reviewing of manuscripts submitted for publication started in November 2017, with at least 2 reviewers per paper and further revision by the DAS 207 Organizing Committee. The entire process was completed by February 2018, and 52 papers were finally accepted for publication. The papers included in this volume are representative of the experimental work carried on in several European and non-European countries: Argentina (1), Austria (7), Croatia (2), Czech Republic (4), Germany (4), Hungary (10), Italy (6), Japan (1), Poland (6), Romania (3), Serbia (3), Slovakia (4), Slovenia (1). Several areas of experimental mechanics were covered during the Symposium and are represented here: biomechanics; integration of mathematical and numerical methods with experimental results; instrumentation; material characterization and testing; practical applications and case studies; recent developments in international Standardization and technical regulations and structural analysis. The variety of validation techniques, reliability assessment experiences and materials analyses addressed in this volume testifies that, even in an increasingly digitalized and connected world of automation driven by data exchange in manufacturing technologies, experimental methods are ever more relevant and increasingly important.