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Michael Drass

Hochschullehrer

Name	Michael Drass
Time	2020- (Wirkungsdaten)
Place	Deutschland
Gender	männlich
Academic degree	Dr.-Ing.
Profession	Hochschullehrer (characteristic profession)
Variant	M. Drass
Related	Technische Universität Darmstadt. Institut für Statik und Konstruktion
Further information	Dissertation 2019, Technische Universität Darmstadt Lehrbeauftragter für Artificial Intelligence for Building Industry an der TU Darmstadt
Source	Homepage: https://www.ismd.tu-darmstadt.de/das_institut_ismd/mitarbeiter_innen_ismd/team_ismd_details_48896.de.jsp (Stand: 03.02.2022)
Record type	Person
GND-Identifier	1213530474
Record ID	1213530474
Involved in show all Cavitation and crack nucleation in thin hyperelastic adhesives Dimensioning of silicone adhesive joints: Eurocode-compliant, mesh-independent approach using the FEM Distortional‐dilatational strain failure mode concept for hyperelastic materials Double ring bending tests on heat pretreated soda–lime silicate glass Experimental investigations on the fracture strength of soda‐lime silica glass at elevated temperatures Semantic segmentation with deep learning: detection of cracks at the cut edge of glass Distortional‐dilatational strain failure mode concept for hyperelastic materials Experimental investigations on the fracture strength of soda‐lime silica glass at elevated temperatures Artificial intelligence for structural glass engineering applications — overview, case studies and future potentials Semantic segmentation with deep learning: detection of cracks at the cut edge of glass Double ring bending tests on heat pretreated soda–lime silicate glass Pseudo-elastic cavitation model: part I—finite element analyses on thin silicone adhesives in façades Constitutive modelling and failure prediction for silicone adhesives in façade design Constitutive Modelling and Failure Prediction for Silicone Adhesives in Façade Design

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Michael Drass

Cavitation and crack nucleation in thin hyperelastic adhesives

Dimensioning of silicone adhesive joints: Eurocode-compliant, mesh-independent approach using the FEM

Distortional‐dilatational strain failure mode concept for hyperelastic materials

Double ring bending tests on heat pretreated soda–lime silicate glass

Experimental investigations on the fracture strength of soda‐lime silica glass at elevated temperatures

Semantic segmentation with deep learning: detection of cracks at the cut edge of glass

Distortional‐dilatational strain failure mode concept for hyperelastic materials

Experimental investigations on the fracture strength of soda‐lime silica glass at elevated temperatures

Artificial intelligence for structural glass engineering applications — overview, case studies and future potentials

Semantic segmentation with deep learning: detection of cracks at the cut edge of glass

Double ring bending tests on heat pretreated soda–lime silicate glass

Pseudo-elastic cavitation model: part I—finite element analyses on thin silicone adhesives in façades

Constitutive modelling and failure prediction for silicone adhesives in façade design

Constitutive Modelling and Failure Prediction for Silicone Adhesives in Façade Design