• The Effect of Filler Content on the Tensile Behavior of Polypropylene/Cotton Fiber and poly(vinyl chloride)/Cotton Fiber Composites 

  Mahdi, Elsadig; Dean, Aamir (Basel : MDPI, 2020)

  This paper investigates the effect of filler content on the mechanical properties of cotton fiber (CF) on the CF/PP and CF/PVC composites under quasi-static loading. For this purpose, experimental tensile tests were carried ...
• Numerical investigation of optimized piled raft foundation for high-rise building in Germany 

  Abdel-Azim, O.A.; Abdel-Rahman, K.; El-Mossallamy, Y.M. (Heidelberg : Springer Verlag, 2020)

  Piled rafts have been used as a foundation system for high-rise buildings worldwide in different soil conditions, e.g., in soft to stiff clay as well as in medium-to-dense sand. Piled raft is currently used not only to ...
• Sand mining in the Mekong Delta revisited - current scales of local sediment deficits 

  Jordan, Christian; Tiede, Jan; Lojek, Oliver; Visscher, Jan; Apel, Heiko; Nguyen, Hong Quan; Quang, Chau Nguyen Xuan; Schlurmann, Torsten (London : Nature Publishing Group, 2019)

  The delta of the Mekong River in Vietnam has been heavily impacted by anthropogenic stresses in recent years, such as upstream dam construction and sand mining within the main and distributary channels, leading to riverbank ...
• Role and Impact of Hydrograph Shape on Tidal Current-Induced Scour in Physical-Modelling Environments 

  Schendel, Alexander; Welzel, Mario; Hildebrandt, Arndt; Schlurmann, Torsten; Hsu, Tai-Wen (Basel : MDPI, 2019)

  For physical model tests, the time-varying characteristics of tidal currents are often simplified by a hydrograph following a shape of a unidirectional current or by resolving the tidal velocity signal into discrete steps ...
• Intelligent crack extraction based on terrestrial laser scanning measurement 

  Yang, Hao; Xu, Xiangyang (Thousand Oaks, CA : SAGE, 2019)

  The hazards of cracks, which could badly decrease reliability and safety of structures, are receiving increasing attention with the popularity of tunnel constructions. Traditional crack inspection relies on visual examination, ...
• Towards Responsible Consolidation of Customary Lands: A Research Synthesis 

  Kwabena, Asiama; Bennett, Rohan; Zevenbergen, Jaap (Basel : MDPI, 2019)

  The use of land consolidation on customary lands has been limited, though land fragmentation persists. Land fragmentation on customary lands has two main causes—the nature of the customary land tenure system, and the ...
• Georeferencing of an Unmanned Aerial System by Means of an Iterated Extended Kalman Filter Using a 3D City Model 

  Bureick, Johannes; Vogel, Sören; Neumann, Ingo; Unger, Jakob; Alkhatib, Hamza (New York, NY : Springer International Publishing, 2019)

  In engineering geodesy, the technical progress leads to various kinds of multi-sensor systems (MSS) capturing the environment. Multi-sensor systems, especially those mounted on unmanned aerial vehicles, subsequently called ...
• How significant are differences obtained by neglecting correlations when testing for deformation: A real case study using bootstrapping with terrestrial laser scanner observations approximated by b-spline surfaces 

  Kermarrec, Gaël; Paffenholz, Jens-André; Alkhatib, Hamza (Basel : MDPI AG, 2019)

  B-spline surfaces possess attractive properties such as a high degree of continuity or the local support of their basis functions. One of the major applications of B-spline surfaces in engineering geodesy is the least-square ...
• Estimating road segments using natural point correspondences of GPS trajectories 

  Leichter, Artem; Werner, Martin (Basel : MDPI AG, 2019)

  This work proposes a fast and straightforward method, called natural point correspondences (NaPoCo), for the extraction of road segment shapes from trajectories of vehicles. The algorithm can be expressed with 20 lines of ...
• Complex hazard cascade culminating in the Anak Krakatau sector collapse 

  Walter, Thomas R.; Haghshenas Haghighi, Mahmud; Schneider, Felix M.; Coppola, Diego; Motagh, Mahdi; Saul, Joachim; Babeyko, Andrey; Dahm, Torsten; Troll, Valentin R.; Tilmann, Frederik; Heimann, Sebastian; Valade, Sebastian; Triyono, Rahmat; Khomarudin, Rokhis; Kartadinata, Nugraha; Laiolo, Marco; Massimetti, Francesco; Gaebler, Peter (London : Nature Publishing Group, 2019)

  Flank instability and sector collapses, which pose major threats, are common on volcanic islands. On 22 Dec 2018, a sector collapse event occurred at Anak Krakatau volcano in the Sunda Strait, triggering a deadly tsunami. ...
• A method to systematically classify design characteristics of sand nourishments 

  Gijsman, Rik; Visscher, Jan; Schlurmann, Torsten (American Society of Civil Engineers (ASCE), 2018)

  The decades of collected monitoring data of coastal profiles in combination with the decades of experience with sand nourishments in the Wadden Sea, forms an invaluable basis to study the inter-site efficiency of sand ...
• Application of fuzzy finite element method in addressing the presence of uncertainties 

  Yusmye, A.Y.N.; Ariffin, A.K.; Abdullah, S.; Singh, S.S.K.; Beer, M. (London : Taylor & Francis Group, 2018)

  This research works is focused on the analysis of Fuzzy Finite-Element Method (FFEM) with the present of uncertainties. In considering a major engineering science problems, like damage processes or loading in consequence ...
• Imprecise reliability analysis of complex interconnected networks 

  Behrensdorf, J.; Broggi, M.; Beer, M. (London : Taylor & Francis Group, 2018)

  The effect of natural and man made disasters on critical infrastructures are substantial, as evident from recent history. Break downs of critical systems such as electrical power grids, water supply networks, communication ...
• An efficient reliability analysis on complex non-repairable systems with common-cause failures 

  Feng, G.; George-Williams, H.; Patelli, E.; Coolen, F.P.A.; Beer, M. (London : Taylor & Francis Group, 2018)

  Common-Cause Failures (CCF) impose severe consequences on a complex system’s reliability and overall performance. A more realistic assessment, therefore, of the survivability of the system requires an adequate consideration ...
• Human reliability analysis—accounting for human actions and external factors through the project life cycle 

  Morais, C.; Moura, R.; Beer, M.; Patelli, E. (London : Taylor & Francis Group, 2018)

  Airplanes, ships, nuclear power plants and chemical production plants (including oil & gas facilities) are examples of industries that depend upon the interaction between operators and machines. Consequently, to assess the ...
• Report on levelling and GNSS results for stations on the MPQ campus in Garching 

  Denker, Heiner; Timmen, Ludger; Völksen, Christof (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2019-12-17)

  This technical report describes the levelling and GNSS (Global Navigation Satellite System) results for stations on the MPQ (Max-Planck-Institut für Quantenoptik) campus in Garching, aiming at the derivation of relativistic ...
• Bayesian network model for flood forecasting based on atmospheric ensemble forecasts 

  Goodarzi, Leila; Banihabib, Mohammad E.; Roozbahani, Abbas; Dietrich, Jörg (Göttingen : Copernicus, 2019)

  The purpose of this study is to propose the Bayesian network (BN) model to estimate flood peaks from atmospheric ensemble forecasts (AEFs). The Weather Research and Forecasting (WRF) model was used to simulate historic ...
• A co-rotational based anisotropic elasto-plastic model for geometrically non-linear analysis of fibre reinforced polymer composites: Formulation and finite element implementation 

  Dean, Aamir; Safdar, Nabeel; Rolfes, Raimund (Basel : MDPI AG, 2019)

  Geometrical non-linearity is one of the aspects to be taken into account for accurate analysis of fibre reinforced polymers (FRPs), since large displacements and rotations may be observed in many of its structural applications ...
• Intelligent crack extraction and analysis for tunnel structures with terrestrial laser scanning measurement 

  Xu, Xiangyang; Yang, Hao (Thousand Oaks : SAGE Publications, 2019)

  An automatic and intelligent method for crack detection is significantly important, considering the popularity of large constructions. How to identify the cracks intelligently from massive point cloud data has become ...
• Learning cartographic building generalization with deep convolutional neural networks 

  Feng, Yu; Thiemann, Frank; Sester, Monika (Basel : MDPI AG, 2019)

  Cartographic generalization is a problem, which poses interesting challenges to automation. Whereas plenty of algorithms have been developed for the different sub-problems of generalization (e.g., simplification, displacement, ...

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