@misc{Froehlich,
  type      = {Master Thesis},
  author    = {Fr{\"o}hlich, Jan},
  title     = {On systematic approaches for interpreted information transfer of inspection data from bridge models to structural analysis},
  doi       = {10.25643/bauhaus-universitaet.4131},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20200416-41310},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {82},
  abstract  = {In conjunction with the improved methods of monitoring damage and degradation processes, the interest in reliability assessment of reinforced concrete bridges is increasing in recent years. Automated imagebased inspections of the structural surface provide valuable data to extract quantitative information about deteriorations, such as crack patterns. However, the knowledge gain results from processing this information in a structural context, i.e. relating the damage artifacts to building components. This way, transformation to structural analysis is enabled. This approach sets two further requirements: availability of structural bridge information and a standardized storage for interoperability with subsequent analysis tools. Since the involved large datasets are only efficiently processed in an automated manner, the implementation of the complete workflow from damage and building data to structural analysis is targeted in this work. First, domain concepts are derived from the back-end tasks: structural analysis, damage modeling, and life-cycle assessment. The common interoperability format, the Industry Foundation Class (IFC), and processes in these domains are further assessed. The need for usercontrolled interpretation steps is identified and the developed prototype thus allows interaction at subsequent model stages. The latter has the advantage that interpretation steps can be individually separated into either a structural analysis or a damage information model or a combination of both. This approach to damage information processing from the perspective of structural analysis is then validated in different case studies.},
  subject      = {Br{\"u}ckenbau},
  language  = {en}
}
@phdthesis{Berhe,
  author    = {Berhe, Asgedom Haile},
  title     = {Mitigating Risks of Corruption in Construction: A theoretical rationale for BIM adoption in Ethiopia},
  doi       = {10.25643/bauhaus-universitaet.4517},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20211007-45175},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {336},
  abstract  = {This PhD thesis sets out to investigate the potentials of Building Information Modeling (BIM) to mitigate risks of corruption in the Ethiopian public construction sector. The wide-ranging capabilities and promises of BIM have led to the strong perception among researchers and practitioners that it is an indispensable technology. Consequently, it has become the frequent subject of science and research. Meanwhile, many countries, especially the developed ones, have committed themselves to applying the technology extensively. Increasing productivity is the most common and frequently cited reason for that. However, both technology developers and adopters are oblivious to the potentials of BIM in addressing critical challenges in the construction sector, such as corruption. This particularly would be significant in developing countries like Ethiopia, where its problems and effects are acute. Studies reveal that bribery and corruption have long pervaded the construction industry worldwide. The complex and fragmented nature of the sector provides an environment for corruption. The Ethiopian construction sector is not immune from this epidemic reality. In fact, it is regarded as one of the most vulnerable sectors owing to varying socio-economic and political factors. Since 2015, Ethiopia has started adopting BIM, yet without clear goals and strategies. As a result, the potential of BIM for combating concrete problems of the sector remains untapped. To this end, this dissertation does pioneering work by showing how collaboration and coordination features of the technology contribute to minimizing the opportunities for corruption. Tracing loopholes, otherwise, would remain complex and ineffective in the traditional documentation processes. Proceeding from this anticipation, this thesis brings up two primary questions: what are areas and risks of corruption in case of the Ethiopian public construction projects; and how could BIM be leveraged to mitigate these risks? To tackle these and other secondary questions, the research employs a mixed-method approach. The selected main research strategies are Survey, Grounded Theory (GT) and Archival Study. First, the author disseminates an online questionnaire among Ethiopian construction engineering professionals to pinpoint areas of vulnerability to corruption. 155 responses are compiled and scrutinized quantitatively. Then, a semi-structured in-depth interview is conducted with 20 senior professionals, primarily to comprehend opportunities for and risks of corruption in those identified highly vulnerable project stages and decision points. At the same time, open interviews (consultations) are held with 14 informants to be aware of state of the construction documentation, BIM and loopholes for corruption in the country. Consequently, these qualitative data are analyzed utilizing the principles of GT, heat/risk mapping and Social Network Analysis (SNA). The risk mapping assists the researcher in the course of prioritizing corruption risks; whilst through SNA, methodically, it is feasible to identify key actors/stakeholders in the corruption venture. Based on the generated research data, the author constructs a [substantive] grounded theory around the elements of corruption in the Ethiopian public construction sector. This theory, later, guides the subsequent strategic proposition of BIM. Finally, 85 public construction related cases are also analyzed systematically to substantiate and confirm previous findings. By ways of these multiple research endeavors that is based, first and foremost, on the triangulation of qualitative and quantitative data analysis, the author conveys a number of key findings. First, estimations, tender document preparation and evaluation, construction material as well as quality control and additional work orders are found to be the most vulnerable stages in the design, tendering and construction phases respectively. Second, middle management personnel of contractors and clients, aided by brokers, play most critical roles in corrupt transactions within the prevalent corruption network. Third, grand corruption persists in the sector, attributed to the fact that top management and higher officials entertain their overriding power, supported by the lack of project audits and accountability. Contrarily, individuals at operation level utilize intentional and unintentional 'errors' as an opportunity for corruption. In light of these findings, two conceptual BIM-based risk mitigation strategies are prescribed: active and passive automation of project audits; and the monitoring of project information throughout projects' value chain. These propositions are made in reliance on BIM's present dimensional capabilities and the promises of Integrated Project Delivery (IPD). Moreover, BIM's synchronous potentials with other technologies such as Information and Communication Technology (ICT), and Radio Frequency technologies are topics which received a treatment. All these arguments form the basis for the main thesis of this dissertation, that BIM is able to mitigate corruption risks in the Ethiopian public construction sector. The discourse on the skepticisms about BIM that would stem from the complex nature of corruption and strategic as well as technological limitations of BIM is also illuminated and complemented by this work. Thus, the thesis uncovers possible research gaps and lays the foundation for further studies.},
  subject      = {Building Information Modeling},
  language  = {en}
}
@techreport{VogelVoelkerArnoldetal.,
  author    = {Vogel, Albert and V{\"o}lker, Conrad and Arnold, J{\"o}rg and Schmidt, Jens and Thurow, Torsten and Braunes, J{\"o}rg and Tonn, Christian and Bode, Kay-Andr{\´e} and Baldy, Franziska and Erfurt, Wolfgang and Tatarin, Ren{\´e}},
  title     = {Methoden und Baustoffe zur nutzerorientierten Bausanierung. Schlussbericht zum InnoProfile Forschungsvorhaben},
  organization    = {Bauhaus-Universit{\"a}t Weimar},
  isbn      = {978-3-86068-501-3 (Printausg.)},
  doi       = {10.25643/bauhaus-universitaet.2022},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20130830-20229},
  pages     = {106},
  abstract  = {Nutzerorientierte Bausanierung bedeutet eine gegen{\"u}ber dem konventionellen Vorgehen deutlich verst{\"a}rkte Ausrichtung des Planungs- und Sanierungsprozesses auf die Anforderungen und Bed{\"u}rfnisse des zuk{\"u}nftigen Nutzers eines Geb{\"a}udes. Dies hat einerseits ein hochwertigeres Produkt zum Ergebnis, erfordert andererseits aber auch den Einsatz neuer Methoden und Baustoffe sowie ein vernetztes Zusammenarbeiten aller am Bauprozess Beteiligten. Der Fokus der Publikation liegt dabei auf den Bereichen, die eine hohe Relevanz f{\"u}r die nutzerorientierte Bausanierung aufweisen. Dabei handelt es sich insbesondere um: Computergest{\"u}tztes Bauaufmaß und digitale Bauwerksmodellierung (BIM), bauphysikalische Methoden zur Optimierung von Energieeffizienz und Behaglichkeit bei der Sanierung von Bestandsgeb{\"a}uden, zerst{\"o}rungsfreie Untersuchungsmethoden im Rahmen einer substanzschonenden Bauzustandsanalyse und Entwicklung von Erg{\"a}nzungsbaustoffen. Das Projekt nuBau ist eine Kooperation zwischen den Fakult{\"a}ten Bauingenieurwesen und Architektur der Bauhaus-Universit{\"a}t Weimar. Die beteiligten Professuren sind: Bauphysik, Informatik in der Architektur, Polymere Werkstoffe und Werkstoffe des Bauens.},
  subject      = {Nutzerorientierte Bausanierung},
  language  = {de}
}
@phdthesis{Dang,
  author    = {Dang, Trang},
  title     = {Automated Detailing of 4D Schedules},
  doi       = {10.25643/bauhaus-universitaet.2310},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20141006-23103},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {120},
  abstract  = {The increasing success of BIM (Building Information Model) and the emergence of its implementation in 3D construction models have paved a way for improving scheduling process. The recent research on application of BIM in scheduling has focused on quantity take-off, duration estimation for individual trades, schedule visualization, and clash detection. Several experiments indicated that the lack of detailed planning causes about 30\% non-productive time and stacking of trades. However, detailed planning still has not been implemented in practice despite receiving a lot of interest from researchers. The reason is associated with the huge amount and complexity of input data. In order to create a detailed planning, it is time consuming to manually decompose activities, collect and calculate the detailed information in relevant. Moreover, the coordination of detailed activities requires much effort for dealing with their complex constraints. This dissertation aims to support the generation of detailed schedules from a rough schedule. It proposes a model for automated detailing of 4D schedules by integrating BIM, simulation and Pareto-based optimization.},
  subject      = {Simulation},
  language  = {en}
}
@misc{Alabassy,
  type      = {Master Thesis},
  author    = {Alabassy, Mohamed Said Helmy},
  title     = {Automated Approach for Building Information Modelling of Crack Damages via Image Segmentation and Image-based 3D Reconstruction},
  doi       = {10.25643/bauhaus-universitaet.6416},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20230818-64162},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {101},
  abstract  = {As machine vision-based inspection methods in the field of Structural Health Monitoring (SHM) continue to advance, the need for integrating resulting inspection and maintenance data into a centralised building information model for structures notably grows. Consequently, the modelling of found damages based on those images in a streamlined automated manner becomes increasingly important, not just for saving time and money spent on updating the model to include the latest information gathered through each inspection, but also to easily visualise them, provide all stakeholders involved with a comprehensive digital representation containing all the necessary information to fully understand the structure's current condition, keep track of any progressing deterioration, estimate the reduced load bearing capacity of the damaged element in the model or simulate the propagation of cracks to make well-informed decisions interactively and facilitate maintenance actions that optimally extend the service life of the structure. Though significant progress has been recently made in information modelling of damages, the current devised methods for the geometrical modelling approach are cumbersome and time consuming to implement in a full-scale model. For crack damages, an approach for a feasible automated image-based modelling is proposed utilising neural networks, classical computer vision and computational geometry techniques with the aim of creating valid shapes to be introduced into the information model, including related semantic properties and attributes from inspection data (e.g., width, depth, length, date, etc.). The creation of such models opens the door for further possible uses ranging from more accurate structural analysis possibilities to simulation of damage propagation in model elements, estimating deterioration rates and allows for better documentation, data sharing, and realistic visualisation of damages in a 3D model.},
  subject      = {Building Information Modeling},
  language  = {en}
}