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    ์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท์„ ํ™œ์šฉํ•œ ์ฃผ๊ฑฐ์šฉ ๊ฑด๋ฌผ์—์„œ์˜ ๊ฒฐ๋กœ ํ•ด๊ฒฐ ๋ฐฉ์•ˆ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ฑด์ถ•ํ•™๊ณผ, 2020. 8. ์—ฌ๋ช…์„.The building technology have been developed in a way to minimize damage from inadvertent moisture penetration and generation in the living space. Researches and building technologies related with the condensation in building is actively reviewed with applying appropriate combinations of insulation and ventilation. However, condensation still ranks high on the list of defect dispute issues for newly built apartment buildings in Korea. The building industry is trying to solve the issue by increasing the design criteria for condensation prevention. However, this may cause other unintended effects which this study was designed to address: The aim was to provide an Internet of Things (IOT) concept approach solution for preventing condensation in the balconies of Korean apartments, which is reported to be the most problematic space in a residential unit. The research proceeded as follows to solve the condensation in the balcony space. Long-term monitoring was conducted to identifying the cause of condensation to derive a strategy to prevent condensation. The monitoring result revealed not only the construction factors of the balcony but also occupancy activity influences condensation. Condensation prevention effect through control of these factors were reviewed by EnergyPlus simulation (Insulation thickness and ventilation rate) and the control of occupancy activities were reviewed with the use of a field experiment. However, the uncertainty related to the moisture generation rate by the occupants made it difficult to ascertain the buildings physical parameter values. Although restricting the occupancy activity effectively lowered the moisture generation to prevention condensation occurrence. Although a method to control the behavior of occupancy dose not ensure the effectiveness from the engineering point of view, it was confirmed that it is feasible by combining technology with the concept of IoT. Author installed IoT experiment onsite accessed by internet WiFi. Real-time data value collection and analysis algorithms are processed through micro-processor (Raspberry Pi) to operate the balcony door actuator and ventilation fan installed inside the balcony. As a result of the experiment it was confirmed that the condensation prevention control combined with the Internet of Things shorten the condensation occurrence time. In this study, as a method for solving condensation in buildings categorized into fixed parameter and occupancy parameter. Fixed parameters are considered during design phase while occupancy parameters are applicable during use stage. Occupancy parameters are actively respond to changes in the indoor environment by using IoT technology to block the moisture transfer and remove generated moisture while fixed parameters are a way to reflect the possibility of condensation to derive insulation thickness and ventilation rate. Previously, the indoor condition of building was left to the autonomy of the occupants after building have been constructed. Through this study provides a vision of designing to control the architectural feature in use stage of building is possible.๊ฑด๋ฌผ์€ ๊ฑฐ์ฃผ ๊ณต๊ฐ„์˜ ์˜๋„์น˜ ์•Š์€ ์ˆ˜๋ถ„ ์นจํˆฌ ๋ฐ ๋ฐœ์ƒ์œผ๋กœ ์ธํ•œ ํ”ผํ•ด๋ฅผ ์ตœ์†Œํ™” ํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉํ–ฅ์œผ๋กœ ๊ธฐ์ˆ  ๋ฐœ์ „ ๋˜์–ด ์™”๋‹ค. ํŠนํžˆ ๊ฒฐ๋กœ์™€ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ ๋ฐ ๊ด€๋ จ ๊ฑด์ถ• ๊ธฐ์ˆ ๋กœ๋Š” ๋‹จ์—ด ๋ฐ ํ™˜๊ธฐ ๋“ฑ์˜ ์ ์ ˆํ•œ ์กฐํ•ฉ์„ ํ†ตํ•ด์„œ ์ ์šฉ ๋  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ๋“ค์ด ํ™œ๋ฐœํžˆ ๊ฒ€ํ† ๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿผ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์—ฌ์ „ํžˆ ๊ณต๋™์ฃผํƒ ๊ฑด์„คํ˜„์žฅ์—์„œ๋Š” ๊ฒฐ๋กœ์™€ ๊ด€๋ จ๋œ ํ•˜์ž ๋ถ„์Ÿ ๋ฐ ๋ฏผ์›์ด ๋Š์ด์ง€ ์•Š๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๋กœ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด์„œ ๋‹จ์—ด๊ณผ ํ™˜๊ธฐ์™€ ๊ฐ™์€ ๊ฒฐ๋กœ ๋ฐฉ์ง€ ์„ค๊ณ„ ๊ธฐ์ค€์„ ๋†’์ด๋ ค๊ณ  ํ•˜์ง€๋งŒ, ๋‹ค์–‘ํ•˜๊ณ  ๋ณตํ•ฉ์ ์ธ ์š”์†Œ๋“ค์˜ ๊ตฌ์„ฑ์ฒด์ธ ๊ฑด๋ฌผ์—์„œ ๋‹จ์ˆœํžˆ ๊ฒฐ๋กœ ๋งŒ์„ ์œ„ํ•œ ์กฐ๊ฑด์„ ์ƒํ–ฅ ์‹œํ‚ฌ ๊ฒฝ์šฐ ๊ฑด๋ฌผ ๋‚ด์—์„œ ์˜๋„์น˜ ์•Š์€ ๋‹ค๋ฅธ ํ™˜๊ฒฝ๋ณ€ํ™”๋ฅผ ์•ผ๊ธฐ ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ณตํ•ฉ์ ์ธ ํ™˜๊ฒฝ๋ณ€ํ™” ์š”์†Œ๋“ค์„ ๊ณ ๋ ค ํ•  ์ˆ˜ ์žˆ๋Š” ์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•˜์—ฌ ์ฃผ๊ฑฐ๊ณต๊ฐ„์—์„œ์˜ ๊ฒฐ๋กœ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐฉ์•ˆ์„ ์ƒˆ๋กญ๊ฒŒ ์ œ์•ˆํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ฃผ๊ฑฐ๊ณต๊ฐ„ ๋‚ด ๊ฒฐ๋กœ ๋ฌธ์ œ ํ•ด๊ฒฐ ๋ฐฉ์•ˆ ๋„์ถœ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๊ฒฐ๋กœ ๋ฐœ์ƒ ์›์ธ ํŒŒ์•…์„ ํ†ตํ•œ ๊ฒฐ๋กœ ๋ฐฉ์ง€ ์ „๋žต ๋„์ถœ์„ ์œ„ํ•ด์„œ ์ฃผ๊ฑฐ ๊ณต๊ฐ„ ๋‚ด ๊ฒฐ๋กœ ํ”ผํ•ด ๋ฌธ์ œ๊ฐ€ ์‹ฌ๊ฐํ•œ ๋น„ํ™•์žฅ ๋ฐœ์ฝ”๋‹ˆ ๊ณต๊ฐ„์„ ๋Œ€์ƒ์œผ๋กœ ์žฅ๊ธฐ ๋ชจ๋‹ˆํ„ฐ๋ง์„ ์ง„ํ–‰ ํ•˜์˜€๋‹ค. ๋ชจ๋‹ˆํ„ฐ๋ง ๊ฒฐ๊ณผ ๋ฐœ์ฝ”๋‹ˆ์˜ ์‹œ๊ณต ์š”์†Œ๋กœ ์ธํ•œ ์›์ธ๊ณผ ์žฌ์‹ค ํ–‰์œ„์— ์˜ํ•ด์„œ ๊ฒฐ๋กœ๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๊ณ  ์ด๋Ÿฌํ•œ ์š”์†Œ๋“ค์˜ ์ œ์–ด๋ฅผ ํ†ตํ•œ ๊ฒฐ๋กœ ๋ฐฉ์ง€ ํšจ๊ณผ๋ฅผ EnergyPlus ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ชจ๋ธ(๋‹จ์—ด, ํ™˜๊ธฐ ๋ฐฉ์•ˆ)๊ณผ ํ˜„์žฅ ์‹คํ—˜(์žฌ์‹ค ํ–‰๋™ ์ œ์–ด ๋ฐฉ์•ˆ)์„ ํ†ตํ•ด์„œ ๊ฒ€ํ† ํ•˜์˜€๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ชจ๋ธ๊ณผ ํ˜„์žฅ ์‹ค์ธก ๊ฒ€ํ†  ๊ฒฐ๊ณผ ๊ธฐ์กด์˜ ๊ฒฐ๋กœ ๋ฐฉ์ง€ ๋ฐฉ์•ˆ์ธ ๋‹จ์—ด ๋ฐ ํ™˜๊ธฐ ์ „๋žต ๋ณด๋‹ค๋Š” ์žฌ์‹ค ํ–‰๋™ ์ œ์–ด ๋ฐฉ์•ˆ์„ ํ†ตํ•ด์„œ ์ฆ‰๊ฐ์ ์ด๊ณ  ํšจ๊ณผ์ ์œผ๋กœ ๊ฒฐ๋กœ ๋ฐœ์ƒ์„ ๋ฐฉ์ง€ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์žฌ์‹ค ํ–‰๋™์„ ์ œ์–ดํ•˜๋Š” ๋ฐฉ์•ˆ์„ ๊ฒฐ๋กœ ๋ฐฉ์ง€ ํ•ด๋ฒ•์œผ๋กœ ์ œ์‹œํ•˜๊ธฐ์— ๊ณตํ•™์  ์ธก๋ฉด์—์„œ ๊ทธ ํšจ๊ณผ๋ฅผ ๋‹ด๋ณด ํ•  ์ˆ˜ ์—†์ง€๋งŒ ์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท ๊ฐœ๋…๊ณผ์˜ ๊ธฐ์ˆ  ๊ฒฐํ•ฉ์„ ํ†ตํ•ด์„œ ์‹คํ˜„ ๊ฐ€๋Šฅํ•œ ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์‹ค์‹œ๊ฐ„ ๋ฐ์ดํ„ฐ ๊ฐ’ ์ฒ˜๋ฆฌ ๋ฐ ๋ถ„์„ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ†ตํ•ด ๋ฐœ์ฝ”๋‹ˆ ๋ฌธ ์ž๋™ ๊ตฌ๋™์ฒด์™€ ๋ฐœ์ฝ”๋‹ˆ ๋‚ด๋ถ€์— ์ถ”๊ฐ€ ์„ค์น˜ํ•œ ํ™˜๊ธฐ ํŒฌ์„ ๊ฒฐ๋กœ ๋ฐœ์ƒ ์กฐ๊ฑด์— ๋”ฐ๋ผ ์ž‘๋™๋˜๋„๋ก ๋งˆ์ดํฌ๋กœ ํ”„๋กœ์„ธ์„œ(Raspberry Pi)์™€ ์—ฐ๊ฒฐํ•˜์˜€๊ณ  ํ•ด๋‹น ๊ธฐ๊ธฐ๋Š” ์™€์ดํŒŒ์ด๋กœ ์ ‘๊ทผ ๊ฐ€๋Šฅํ•˜๋„๋ก ์‹ค์ œ ํ˜„์žฅ์— ๊ตฌํ˜„ํ•˜์˜€๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ ์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท๊ณผ ๊ฒฐํ•ฉํ•œ ๊ฒฐ๋กœ ๋ฐฉ์ง€ ์ œ์–ด๋ฅผ ํ†ตํ•ด์„œ ๊ฒฐ๋กœ ๋ฐœ์ƒ ์‹œ๊ฐ„์ด ์ ์šฉ ์ „๊ณผ ๋น„๊ตํ•˜์—ฌ ๋‹จ์ถ•๋˜๋Š” ํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฑด๋ฌผ์—์„œ์˜ ๊ฒฐ๋กœ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์•ˆ์œผ๋กœ ์„ค๊ณ„๋‹จ๊ณ„์—์„œ์˜ ๋Œ€์‘๊ณผ ์žฌ์‹ค ๋‹จ๊ณ„์—์„œ์˜ ๋Œ€์‘์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์˜€๋‹ค. ์„ค๊ณ„๋‹จ๊ณ„์—์„œ๋Š” ๊ฑด๋ฌผ์—์„œ์˜ ๊ฒฐ๋กœ ๋ฐœ์ƒ ๊ฐ€๋Šฅ์„ฑ ๋“ฑ์„ ์ข…ํ•ฉ์ ์œผ๋กœ ๊ณ ๋ คํ•˜์—ฌ ๋‹จ์—ด ์กฐ๊ฑด ๋ฐ ํ™˜๊ธฐ๋Ÿ‰์ด ์„ค๊ณ„์— ๋ฐ˜์˜๋˜๋Š” ๋ฐฉ์•ˆ์œผ๋กœ ํ˜„์กดํ•˜๋Š” ๊ฑด๋ฌผ ์„ค๊ณ„ ๋ฐฉ๋ฒ•์ด์—ˆ๋‹ค๋ฉด, ๊ฑด๋ฌผ ์‚ฌ์šฉ๋‹จ๊ณ„์—์„œ ์žฌ์‹ค ํ™œ๋™์— ๋”ฐ๋ผ ์ˆ˜์ฆ๊ธฐ ์ด๋™ ์ฐจ๋‹จ ๋ฐ ๋ฐœ์ƒ๋œ ์ˆ˜์ฆ๊ธฐ๋ฅผ ๋ฐฐ์ถœํ•˜๋Š” ๋ฐฉ์•ˆ์„ ์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•˜์—ฌ ์‹ค๋‚ด ํ™˜๊ฒฝ ๋ณ€ํ™”์— ๋”ฐ๋ผ์„œ ๋Šฅ๋™์ ์œผ๋กœ ๋Œ€์‘ ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ƒˆ๋กญ๊ฒŒ ์ œ์•ˆํ•˜์˜€๋‹ค. ๊ธฐ์กด์—๋Š” ๊ฑด๋ฌผ ์™„๊ณต๊นŒ์ง€์˜ ์ƒํ™ฉ๋งŒ์„ ๊ณ ๋ คํ•˜๊ณ  ์ดํ›„์˜ ์žฌ์‹ค ๋ฐ ์‚ฌ์šฉ์— ๋”ฐ๋ฅธ ๊ฑด๋ฌผ ๋‚ด์˜ ํ™˜๊ฒฝ ๋ณ€ํ™”์— ๋Œ€์‘ํ•˜๋Š” ์„ค๊ณ„๋Š” ๊ณ ๋ ค ๋Œ€์ƒ์ด ์•„๋‹ˆ์—ˆ๋‹ค. ๊ฑด๋ฌผ ์‚ฌ์šฉ์— ๋Œ€ํ•ด์„œ๋Š” ์žฌ์‹ค์ž์˜ ์ž์œจ์„ฑ์— ๋งก๊ฒจ๋‘์—ˆ๋‹ค๋ฉด ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด์„œ ๊ฑด๋ฌผ ์™„๊ณต ์ดํ›„ ๊ฑด๋ฌผ์ด ์‚ฌ์šฉ๋˜๋Š” ์ƒํ™ฉ์„ ์ œ์–ดํ•˜๋Š” ์„ค๊ณ„์˜ ๊ฐ€๋Šฅ์„ฑ์„ ์—ฟ๋ณผ ์ˆ˜ ์žˆ๊ฒŒ ๋˜์—ˆ๋‹ค.CHAPTER 1. INTRODUCTION 1 1.1. BACKGROUND AND PURPOSE 1 1.2. SCOPE AND METHOD 7 CHAPTER 2. EXISTING STRATEGIES FOR CONDENSATION CONTROL 11 2.1. CONVENTIONAL KOREAN BALCONIES 11 2.2. DESIGN CRITERIA FOR CONDENSATION CONTROL 14 2.2.1. Temperature Difference Ratio 14 2.2.2. Moisture control design 15 2.3. PRELIMINARY STUDY OF CONDENSATION PREVENTION 16 2.3.1. Preliminary studies on unheated space condensation 16 2.3.2. The solution application by Korean industry 17 2.4. SUMMARY 19 CHAPTER 3. INVESTIGATION OF THE INFLUENCE OF CONDENSATION BY OCCUPANCY PATTERNS 21 3.1. MEASUREMENT SETUP 22 3.1.1. Monitoring target space 22 3.1.2. Data collection points and sensor information 25 3.1.3. Data collection status 27 3.2 CAUSES OF CONDENSATION IN THE BALCONY SPACE 30 3.2.1. Seasonal influence of condensation 30 3.2.2. The influence of the daily schedule on condensation 36 3.2.3 The influence of activity on condensation 40 3.3. CONTROL PARAMETERS DERIVED FROM DIAGNOSIS 48 3.3.1. Fixed parameters 49 3.3.2. Occupancy parameters 50 3.4. SUMMARY 51 CHAPTER 4. EVALUATION OF CONTROL PARAMETERS 53 4.1. EVALUATION OF FIXED PARAMETERS 54 4.1.1. Simulation model setup and validation 54 4.1.2. Insulation thickness evaluation 60 4.1.3. Ventilation rate evaluation 62 4.2. EVALUATION OF OCCUPANCY PARAMETERS 64 4.2.1. Onsite experiment setup 64 4.2.2. Moisture transfer control evaluation 67 4.2.3. Moisture removal evaluation 70 4.3. LIMITATIONS OF CONTROL PARAMETERS AND OCCUPANCY PARAMETERS 71 4.4. SUMMARY 73 CHAPTER 5. APPLICATION OF THE INTERNET OF THINGS FOR CONDENSATION CONTROL 77 5.1. INTERNET OF THINGS (IOT) APPLICATION 77 5.1.1. The concept of the Internet of Things 77 5.1.2. Application cases involving the Internet of Things 80 5.2. THE INTERNET OF THINGS EXPERIMENT SETUP 81 5.2.1. Microprocessor device setup with wireless communication 81 5.2.2. Sensor and actuator connection with the physical element 84 5.2.3. Condensation determination 89 5.3. THE ALGORITHM BASED ON THE OCCUPANCY PARAMETERS 91 5.3.1. Activity detection-based control 92 5.3.2. Sensor value-interpreted control 97 5.4. SUMMARY 102 CHAPTER 6. FEASIBILITY OF IOT APPLICATION AT HOME 105 6.1. RESULT OF THE ONSITE IOT EXPERIMENT 105 6.1.1. Door control for preventing moisture transfer by condensation detection inside balcony 105 6.1.2. Intermittent fan operation by condensation detection inside balcony 108 6.1.3. Control algorithm by combining and applying different parameters 111 6.2. LEVELS OF APPLICATION WITH FEASIBILITY 115 6.2.1. The IoT application level for condensation control 115 6.2.2. The effectiveness of condensation reduction among the different levels 118 6.4 SUMMARY 121 CHAPTER 7. CONCLUSION 123 REFERENCES 127 ๊ตญ ๋ฌธ ์ดˆ ๋ก 130 APPENDIX 133Docto

    Indoor air quality and early detection of mould growth in residential buildings: a case study

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    Mould growth affects one in three homes, and it is the biggest cause for complaints and litigations filed to the relevant authorities in Australia, while also significantly affecting the physical and psychological health of the buildingโ€™s occupants. Indoor mould is caused by excessive dampness, resulting from poor architectural specification, construction and maintenance practices, as well as inappropriate behaviour of the occupants. The consequences range from early biodeterioration of building materials, requiring anticipated renovation works, to deterioration of the indoor environment, posing a serious threat to the buildingโ€™s occupants. This study investigates indoor air quality (IAQ) and mould growth, providing a snapshot of the current IAQ of Australian residential buildings regarding air pollutants. It uses a case study representative of the typical Australian suburban home to investigate the effects of unnoticed mould growth. The results of the monitoring campaign indicate that buildings with a high concentration of fungal spores are also more likely to present poor IAQ levels, high concentrations of particulate matters (PM10 and PM2.5) and carbon dioxide (CO2). This research suggests the need for the development of early detection strategies that could minimise the health hazard to people, thereby preventing the need for any major renovations

    DURABILITY OF MASS TIMBER STRUCTURES: A REVIEW OF THE BIOLOGICAL RISKS

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    Mass timber structures have the potential to change wooden construction on a global scale. Numerous mass timber high-rise buildings are in planning, under development or already built and their performance will alter how architects and engineers view wood as a material. To date, the discussion of material durability and biodegradation in these structures has been limited. While all materials can be degraded by wetting, the potential for biodegradation of wood in a mass timber building requires special consideration. Identifying and eliminating the conditions that might lead to this degradation will be critical for ensuring proper performance of wood in these structures. This article reviews and contrasts potential sources of biodegradation that exist for traditional wood construction with those in mass timber construction and identifies methods for limiting the degradation risk. Finally, future research needs are outlined

    LDA-Based Model for Defect Management in Residential Buildings

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    This study systematically analyzes various defect patterns that occur during the warranty period of residential buildings using the loss distribution approach (LDA). This paper examines 16,108 defects from 133 residential buildings where defect disputes occurred between 2008 and 2018 in South Korea. The analysis results showed that the defect losses were relatively high in reinforcement concrete (RC) work (3/5/10 years), waterproof work (5 years), and finish work (2 years). It is shown that RC work has a high frequency of defects, such as cracks in concrete in public spaces affected by external factors. In addition, it was analyzed that the type of defect needed high repair cost because the area where the defect—such as incorrect installation and missing task—occurred, needed construction again. According to the level of frequency and severity, losses were divided within four zones to provide detailed strategies (by period). This will effectively contribute to minimizing unnecessary losses from defects as quantifying the losses of defects.This research was supported by a grant (19CTAP-C152020-01) from Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure and Transport of Korean government

    Stachybotrys: Is Nevada at risk?

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    Stachybotrys chartarum (atra) is a toxigenic fungus that is known to adversely impact the health of animals. Until recently, there have only been a few documented clinical reports linking Stachybotrys chartarum to human health effects. Scientists are increasingly convinced that Stachybotrys and its metabolites are responsible for several adverse health effects experienced by people all over the world, although conclusive proof has yet to be established. All the physical requirements needed for indoor Stachybotrys sporulation and growth is provided through water leaks (plumbing, roof or ceiling), flood events, nutrient sources (cellulose and nitrogen), pH, and temperature(23ยฐ - 28ยฐC). Stachybotrys has been found in several climates around the world that are similar to those found in Nevada. Conditions that support Stachybotrys growth and confirmed contamination site locations were also similar to those found in Nevada. Also, Nevada residents who reside/work in water damaged buildings that have confirmed Stachybotrys contamination have reported similar symptoms to those mentioned in the reviewed literature. Unfortunately, scientists have not identified human toxicity levels or the dose/response relationship for humans exposed to Stachybotrys chartarum due to the lack of test subjects who were exposed and their willingness to undergo testing. Scientists are also trying to determine whether not reported Stachybotrys-related illnesses are the result of exposure to Stachybotrys alone or if there are synergistic effects with other bioaerosols and molds. What is known is that Stachybotrys spores often contain toxigenic properties, such as, macrocyclic trichothecenes which can be absorbed into the body through ingestion, skin contact, or inhalation. Nevadans who work or reside in Stachybotrys-contaminated buildings may be at risk. Health effects are numerous and may be life threatening depending on the personโ€™s age, exposure (duration and route), and toxicity level. Medical professionals and consultants should consider microbial contaminants in their assessment of their patients because there is a potential risk that Nevadans may have been exposed to Stachybotrys and its metabolites. Industrial hygienists should use a multi-method approach when collecting and analyzing microbial samples because it has a higher fungal detection rate than single method sampling

    FROSTING IN MEMBRANE ENERGY EXCHANGERS

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    Frost formation in heat/energy exchangers is undesirable because it may reduce air flow through the exchanger, increase the power consumption of fans, decrease the effectiveness of the exchanger, and in extreme cases, cause physical damage to the exchanger. Frosting is more critical in regions with arctic weather conditions, such as Canada and Northern Europe. Membrane-based energy exchangers are believed to be an important step towards frost free exchangers; however, at the beginning of this PhD study, there was no data available in the open literature documenting frosting in membrane energy exchangers. Therefore, the main goal of this PhD work is to determine if membrane energy exchangers are less susceptible to frosting than conventional heat exchangers. In this thesis, an in-depth study between conventional cross-flow air-to-air heat exchangers and membrane energy exchangers is conducted to (1) quantify the frosting limit; the operating conditions at which frost first begins in an exchanger, (2) develop a theoretical model to predict the frosting limit, and (3) quantify the energy impact of frosting and defrosting cycles on energy recovery. To meet these objectives, a test facility to test exchangers under frosting and defrosting cycles is developed and different strategies to detect frosting inside the exchangers are investigated. For the first time in the literature, it is shown that the temperature profile at the exhaust outlet can be used as a reliable and quick method to detect frosting. The frosting limit temperature of the energy exchanger is found to be 5โ„ƒ to10โ„ƒ lower than the frosting limit of the heat exchanger under the same air flow rate and exhaust air relative humidity. Testing the exchangers under both frosting and defrosting conditions shows that the frost accumulation rate is nearly linear with time, while the frost removal rate decreases exponentially with time. Moreover, the frosting rate in the heat exchanger is found to be three times higher than that of the energy exchanger. A theoretical model to predict the frosting limit using the design parameters of the exchangers and the operating conditions is developed. The model is verified with experiments. Both the experimental and theoretical results show that the indoor air moisture content and the outdoor air temperature have significant effects on the frosting limit. Finally, a method to calculate the energy impact of frosting is introduced. Comparison between different frost control strategies in exchangers shows that frost prevention is preferred over repeated cycle of frosting followed by defrosting

    Creep behaviour of densified wood

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    Due to the reproducibility, good workability, suitable mechanical properties, and attractive aesthetic appearance, timber is widely used in the building industry. Among those properties, mechanical properties are important for the useability of timber in construction applications. It is well known that there is a positive relationship between wood density and its mechanical properties. That means the thermo-hydro-mechanical (THM) densification, i.e. transverse compression of the wood cells only by using additional temperature, moisture and mechanical action to increase its density without structural fracturing is a practicable method to increase the performance of low-density species and thereby improve its mechanical properties. The previous studies on wood densification mainly focused on the influence of process parameters on wood physical and mechanical properties and how to use post-treatment to reduce the set recovery. This study is in the field of increasing the use of densified timber in construction applications and thereby strengthen the competitiveness of wood as a construction material. In construction, however, densified timber normally needs to be exposed to long-term loading which may lead to creep deformation and reduction of load-bearing capacity. There is an obvious risk of reduced serviceability and safety of constructions containing densified wood. Studies of creep characteristics of densified wood are rare, and therefore the purpose of this study was to fill the gap in knowledge if the field of densified under bending load. Scots pine specimens subjected to THM densification, THM densification with a post-heat treatment, and THM densification combined with phenol resin impregnation were loaded under 3-point bending under the 35% of maximum stress level at 20โ„ƒ and 65% RH. Results from these tests will be presented.Finansiรคr: Republic of Slovenia</p
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