There are problems with poor quality, poor scheduling and poor working climate in the Swedish construction industry. Many parts have been involved, trying to solve the problem. This spring a new planning and building-law becomes final. In this law, the requirements set on the controls are greater. Hopefully this will lead to fewer construction errors. The requirements set on the working environment have also increased, forcing consultants and contractors to focus on safe workplaces. For each project requiring a building permit, an inspection plan has to been drawn. The inspection plan aims to ensure that the constructed building is operational. To ensure that the control plan is followed, self monitoring is performed. For each project, every designer also has to do a risk analysis to ensure a safe working environment. This report presents an investigation of stakeholders’ roles in the construction process. It also points out what by law should be controlled and against what. The result of the report is templates for control against PBL, self-monitoring plan and risk analysis. / Det finns stora problem med bristande kvalitet, dålig tidplanering och undermåligt arbetsmiljöklimat i den svenska byggbranschen. Detta problem är något som berörda parter lagt ner mycket tid på för att komma till rätta med. Som ett led i strävan mot kvalitetssäkring träder en ny Plan- och bygglag i kraft den 2 maj, som ökar kravet på innehåll i kontrollplaner, och därmed egenkontrollplaner. Arbetsmiljöfrågor har under senare år även de blivit mer aktuella med krav på byggarbetsmiljösamordnare och riskanalys. För samtliga projekt som kräver bygglov, rivningslov, marklov eller anmälan krävs en kontrollplan. Dessutom ska en egenkontrollplan samt en riskanalys finnas för samtliga projektörer i samtliga projekt. Riskanalyser ligger ofta till grund för val av lösningar eller omdirigeringar för att undvika personskador. I denna rapport redovisas en grundlig utredning av nyckelpersoners roll i kvalitets- och arbetsmiljöarbetet, samt vad som egentligen ska kontrolleras och mot vad. Nyckelpersonerna identifieras efterhand i rapporten. Resultatet av utredningen är förslag på utformning av mallar för kontrollplan-PBL, egenkontrollplan samt riskanalys.

This project focuses on the design and modeling of a two degree-of-freedom dissipative passive haptic display. Haptic displays are man-machine interfaces that transmit forces to the human operator. A dissipative passive haptic display is one that may only remove energy from the system using actuators such as brakes and dampers, thus ensuring the safety of the human operator. These devices may be used to implement virtual constraints such as desired paths and obstacles. Traditional friction brakes have previously been used as dissipative and coupling elements in a two degree-of-freedom parallel manipulator, resulting in undesired effects such as vibration, stiction, and slow response times. Alternatively, the new robot is actuated by rheological brakes, which feature fast response times and smooth application of torque. This approach aims to improve upon the accuracy and feel of the previous design. A commercial magnetorheological (MR) fluid brake was selected and put through an extensive series of tests. The data was used to develop a model that characterizes MR fluid behavior in low speed braking applications. A parallel five bar linkage was designed and built that has separate configurations corresponding to 3-brake and 4-brake operation. The length of each arm was chosen by means of a geometrical optimization that weighs the size and area of the workspace and actuator effects. A simulation was then developed by incorporating the brake model into the equations of motion of the robot. Next, two forms of path following velocity control were devised and tested in simulation. Finally, the accuracy, workload, and smoothness of both controllers and both configurations were examined in preliminary tests with human operators.

This master’s thesis deals with construction of the gross building of new building of learning complex FEKT VUT in Brno. It contains the design of earthworks, underground setting piles, monolithic structures and isolation of the building for further construction. Construction and technological project includes technical report, time and financial plan of construction, study of the implementation of major technological stages of site preparation, budget of facilities, technological regulation to solved stages, inspection and test plan of monolithic structures, health and safety plan and energy label of objects.

<p dir="ltr">Automaticity, an essential attribute of skill, is developed when a task is executed repeatedly with minimal attention and can have both good (e.g., productivity, skill acquisitions) and bad (e.g., accident involvement) implications on workers’ performance. However, the implications of automaticity in construction are unknown despite their significance. To address this knowledge gap, this research aimed to examine methods that are indicative of the development of automaticity on construction sites and its implications on construction safety and productivity. The objectives of the dissertation include: 1) examining the development of automaticity during the repetitive execution of a primary task of roofing construction and a concurrent secondary task (a computer-generated audio-spatial processing task) to measure attentional resources; 2) using eye-tracking metrics to distinguish between automatic and nonautomatic subjects and determine the significant factors contributing to the odds of automatic behavior; 3) determining which personal characteristics (such as personality traits and mindfulness dimensions) better explain the variability in the attention of workers while developing automaticity. To achieve this objective, 28 subjects were recruited to take part in a longitudinal study involving a total of 22 repetitive sessions of a simulated roofing task. The task involves the installation of 17 pieces of 25 ft2 shingles on a low-sloped roof model that was 8 ft wide, 8 ft long, and 4 ft high for one month in a laboratory. The collected data was analyzed using multiple statistical and data mining techniques such as repeated measures analysis of variance (RM-ANOVA), pairwise comparisons, principal component analysis (PCA), support vector machine (SVM), binary logistic regression (BLR), relative weight analyses (RWA), and advanced bootstrapping techniques to address the research questions. First, the findings showed that as the experiment progressed, there were significant improvements in the mean automatic performance measures such as the mean primary task duration, mean primary task accuracy, and mean secondary task score over the repeated measurements (p-value < 0.05). These findings were used to demonstrate that automaticity develops during repetitive construction activities. This is because these automatic performance measures provide an index for assessing feature-based changes that are synonymous with automaticity development. Second, this study successfully used supervised machine learning methods including SVM to classify subjects (with an accuracy of 76.8%) based on their eye-tracking data into automatic and nonautomatic states. Also, BLR was used to estimate the probability of exhibiting automaticity based on eye-tracking metrics and ascertain the variables significantly contributing to it. Eye-tracking variables collected towards safety harness and anchor, hammer, and work area AOIs were found to be significant predictors (p < 0.05) of the probability of exhibiting automatic behavior. Third, the results revealed that higher levels of agreeableness significantly impact increased levels of change in attention to productivity-related cues during automatic behavior. Additionally, higher levels of nonreactivity to inner experience significantly reduce the changes in attention to safety-related AOIs while developing automaticity. The findings of this study provide metrics to assess training effectiveness. The findings of this study can be used by practitioners to better understand the positive and negative consequences of developing automaticity, measure workers’ performance more accurately, assess training effectiveness, and personalize learning for workers. In long term, the findings of this study will also aid in improving human-AI teaming since the AI will be better able to understand the cognitive state of its human counterpart and can more precisely adapt to him or her.</p>

The construction sector is considered one of the most hazardous industries in the world. The reason for this is due to several factors. Earlier literature shows that a construction site can be dynamic as different types of objects or people are in constant motion. Difficulties arise when trying to predict safety hazards on-site. Collisions between objects or falling from a height are examples of hazardous situations that can occur onconstruction sites. In a construction environment, there are also static risks related to, for instance, dust, unsafe substances, and chemicals from paints, fuels, and solvents. Simultaneously, society is in an era of digitalization and innovation with, among other things, artificial intelligence (AI), drones, building information modeling (BIM), virtual reality (VR), augmented reality (AR), digital twins, internet of things (IoT), automation, robotics and sensor-technologies on the topic. These tools have the potential to improvecurrent safety management methods. At the same time, the attitudes towards the construction industry are associated with traditional working methods where digitalization and new technology are perceived to be moving at a slow pace.Technologies and digital methods for securing construction sites have mainly been investigated in controlled research settings and test projects. The research gap lies in the fact that there is not enough knowledge regarding the implementation of technologies and digital methods in more authentic construction site environments. The study aims to identify different technologies and digital tools within construction safetymanagement in the Swedish context. The purpose of this thesis is to provide a general understanding of the topic and to broaden the perspective on existing attitudes and behaviors toward digital tools and technologieswithin construction safety management. In this thesis, the focus is on construction sites during the production phase with their respective personnel. Other parts of the construction project process, such as the planning and design stages, are taken into account by exploring how these stages can contribute to safer constructionsites. To obtain empirical material, methods based on qualitative research have been suitable where semi-structured interviews and fieldwork have been conducted. The Technology Acceptance Model (TAM) has been used as a theoretical framework for the results and a thematic analysis has been used as a data analysis approach.The thesis has examined how construction sites can become safer with the help of digitalization and new technology. Attitudes and behaviors towards the implementation of digital tools and technology have also been investigated. The results indicate that there are different attitudes towards the implementation of digital tools and technologies concerning safety management in both the design and planning phase and the production phase. To summarize the results, many of the interview participants were positive towards using digital tools and technologies for safety purposes. However, they were also skeptical about the success of implementation due to factors such as cost, risks, traditional methods, and attitudes and behaviors. The attitudes and behaviors, in turn, affect the actual usage of construction safety management implementations.In this thesis, we hope to broaden the perspective on how digital tools and technology could contribute to safer construction sites and the attitudes and behaviors towards the matter. / Byggsektorn anses vara en av de mest riskfyllda branscherna i världen. Anledningen till detta beror på flera faktorer. Tidigare studier visar att en bygg- och anläggningsplats kan vara dynamisk då olika typer av föremål eller människor är i ständig rörelse. Svårigheter kan därmed uppstå i arbetet med att förutse säkerhetsrisker på plats. Kollisioner mellan föremål och fall från höjder är exempel på olyckor på byggarbetsplatser. I en bygg – och anläggningsmiljö finns det också statiska risker relaterade till exempelvisdamm, farliga ämnen och kemikalier från färger, bränslen och lösningsmedel. Samtidigt befinner sig samhället i en era av digitalisering och innovation med bland annat artificiell intelligens (AI), drönare, building information modeling (BIM), virtual reality (VR), augmented reality (AR), digitala tvillingar, internet of things (IoT), automation, robotik och sensorteknik, vilka uppmärksammas på bred front. Dessahjälpmedel har potential att driva utvecklingen av arbetsmiljö - och säkerhetsarbetet inom byggbranschen. Samtidigt förknippas attityderna till byggbranschen med traditionella arbetssätt där digitalisering och ny teknik upplevs gå långsamt.Idag finns det många tekniker och digitala metoder för att säkra bygg- och anläggningsplatser. Detta har dock främst undersökts i kontrollerade forskningsmiljöer och testprojekt. Forskningsgapet ligger i det faktum att det inte finns tillräckligt med kunskap om implementering av teknik och digitala metoder i mer autentiskabygg- och anläggningsplatser. Studien syftar till att identifiera olika tekniker och digitala verktyg inom byggarbetsmiljö och säkerhet i den svenska kontexten. Syftet med denna uppsats är att ge en allmän förståelse för ämnet och att bredda perspektivet på befintliga attityder och beteenden gentemot digitala verktyg och tekniker inom byggarbetsmiljö och säkerhet. I detta examensarbete ligger fokus på byggarbetsplatser under produktionsfasen. Andra delar av byggprojektprocessen, såsom planerings- ochprojekteringsfaserna, beaktas genom att undersöka hur dessa skeden kan bidra till säkrare byggarbetsplatser. För att få fram empiriskt material har metoder baserade på kvalitativa undersökningar varit lämpliga där semistrukturerade intervjuer och fältarbete har genomförts. Technology acceptance model (TAM) har använts som ett teoretiskt ramverk för resultaten och tematisk analys har använts för att redogöra för empirin.I denna studie har det undersökts hur bygg – och anläggningsplatser kan bli säkrare med hjälp av digitalisering och ny teknik. Attityder och beteenden till implementering av digitala verktyg och teknik har också undersökts. Resultaten tyder på att det finns olika attityder till implementering av digitala verktyg och tekniker gällande byggarbetsmiljö och säkerhet i såväl planering- och projekteringsfasen som produktionsfasen. Sammanfattningsvis kan sägas att många av intervjudeltagarna var positiva till att använda digitala verktyg och tekniker i arbetsmiljö – och säkerhetssyfte. Men de var också skeptiska till framgången med implementeringen på grund av faktorer som kostnader, risker, traditionella metoder, attityder och beteenden. Attityderna och beteendena påverkar i sin tur den faktiska användningen av nya implementeringarför arbetsmiljö och säkerhetshantering. I den här uppsatsen hoppas vi kunna bredda perspektivet på hur digitala verktyg och teknik kan bidra till säkrare byggarbetsplatser och attityder och beteenden i frågan.

This diploma thesis solves the construction technology project of the International Clinical Research Center of the St. Anne’s University Hospital, Brno (ICRC), namely the first stage of the construction of the buildings "B1" and "C1". It tries to design an ideal technological process of construction with respect of local conditions. Technologically it focuses mainly on the issue of special foundation, namely protection of excavation pit with secant pile wall and pile foundation. There are processed technological regulations, time and financial plans, construction budget, control and test plan, plan of heavy equipment and safety or environmental requirements. Everything is supplemented by attachments and drawing documentation.