Development Of A Co2e Quantification Method And Of Solutions For Reducing The Greenhouse Gas Emissions Of Construction Machines
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Development Of A Co2e Quantification Method And Of Solutions For Reducing The Greenhouse Gas Emissions Of Construction Machines
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Author : Ays, Isabelle Charlotte
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-06-27
Development Of A Co2e Quantification Method And Of Solutions For Reducing The Greenhouse Gas Emissions Of Construction Machines written by Ays, Isabelle Charlotte and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-27 with Technology & Engineering categories.
This work focuses on the development of a quantification method for GHG (CO2e) emissions from construction machines. The method considers CO2e reduction potentials in the time past-present–future, through influencing factors from six pillars: Machine efficiency, process efficiency, energy source, operating efficiency, material efficiency and CCS. In addition, transformation solutions are proposed to reduce GHG emissions from construction machines like liquid methane, fuel cell drive or CCS.
Ai And Iot Meet Mobile Machines Towards A Smart Working Site
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Author : Xiang, Yusheng
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-06-20
Ai And Iot Meet Mobile Machines Towards A Smart Working Site written by Xiang, Yusheng and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-20 with Technology & Engineering categories.
Infrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT).
Numerical Prediction Of Curing And Process Induced Distortion Of Composite Structures
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Author : Bernath, Alexander
language : en
Publisher: KIT Scientific Publishing
Release Date : 2021-10-29
Numerical Prediction Of Curing And Process Induced Distortion Of Composite Structures written by Bernath, Alexander and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Technology & Engineering categories.
Fiber-reinforced materials offer a huge potential for lightweight design of load-bearing structures. However, high-volume production of such parts is still a challenge in terms of cost efficiency and competitiveness. Numerical process simulation can be used to analyze underlying mechanisms and to find a suitable process design. In this study, the curing process of the resin is investigated with regard to its influence on RTM mold filling and process-induced distortion.
Process Simulation Of Wet Compression Moulding For Continuous Fibre Reinforced Polymers
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Author : Poppe, Christian Timo
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-07-18
Process Simulation Of Wet Compression Moulding For Continuous Fibre Reinforced Polymers written by Poppe, Christian Timo and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Technology & Engineering categories.
Interdisciplinary development approaches for system-efficient lightweight design unite a comprehensive understanding of materials, processes and methods. This applies particularly to continuous fibre-reinforced plastics (CoFRPs), which offer high weight-specific material properties and enable load path-optimised designs. This thesis is dedicated to understanding and modelling Wet Compression Moulding (WCM) to facilitate large-volume production of CoFRP structural components.
Mesoscale Simulation Of The Mold Filling Process Of Sheet Molding Compound
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Author : Meyer, Nils
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-07-12
Mesoscale Simulation Of The Mold Filling Process Of Sheet Molding Compound written by Meyer, Nils and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-12 with Technology & Engineering categories.
Sheet Molding Compounds (SMC) are discontinuous fiber reinforced composites that are widely applied due to their ability to realize composite parts with long fibers at low cost. A novel Direct Bundle Simulation (DBS) method is proposed in this work to enable a direct simulation at component scale utilizing the observation that fiber bundles often remain in a bundled configuration during SMC compression molding.
Stochastic Range Estimation Algorithms For Electric Vehicles Using Data Driven Learning Models
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Author : Scheubner, Stefan
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-06-03
Stochastic Range Estimation Algorithms For Electric Vehicles Using Data Driven Learning Models written by Scheubner, Stefan and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-03 with Technology & Engineering categories.
This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.
Probabilistic Prediction Of Energy Demand And Driving Range For Electric Vehicles With Federated Learning
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Author : Thorgeirsson, Adam Thor
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-09-03
Probabilistic Prediction Of Energy Demand And Driving Range For Electric Vehicles With Federated Learning written by Thorgeirsson, Adam Thor and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with categories.
In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.
Measurable Safety Of Automated Driving Functions In Commercial Motor Vehicles Technological And Methodical Approaches
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Author : Elgharbawy, Mohamed
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-01-13
Measurable Safety Of Automated Driving Functions In Commercial Motor Vehicles Technological And Methodical Approaches written by Elgharbawy, Mohamed and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-13 with Technology & Engineering categories.
With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative mileage to qualitative test coverage by aggregating the results of both knowledge-based and data-driven test platforms. The validity of the test domain can be extended cost-effectively throughout the software development process to achieve meaningful test termination criteria.
Constrained Layer Damping In Hybrid Fibre Metal Elastomer Laminates And Its Tolerance To Damage
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Author : Jackstadt, Alexander
language : en
Publisher: KIT Scientific Publishing
Release Date : 2025-04-07
Constrained Layer Damping In Hybrid Fibre Metal Elastomer Laminates And Its Tolerance To Damage written by Jackstadt, Alexander and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with categories.
This work presents experimental, analytical and numerical methods for predicting structural behaviour as well as damping capabilities of hybrid fibre metal elastomer laminates (FMELs), particularly for the assessment and optimisation of constrained-layer damping (CLD) with regard to its tolerance to damage.
Trajectory Optimization Based On Recursive B Spline Approximation For Automated Longitudinal Control Of A Battery Electric Vehicle
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Author : Jauch, Jens
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-03-01
Trajectory Optimization Based On Recursive B Spline Approximation For Automated Longitudinal Control Of A Battery Electric Vehicle written by Jauch, Jens and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with categories.
This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.