• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.19-20
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• 2023

The pre-qualification system related to floor impact noise is considered ineffective, and thus, the introduction of a post-verification system is being prepared. This is because the performance, which was notarized in the qualification test due to various reasons, was not uniformly confirmed on building construction fields. Industry practitioners perceive that this is due to the influence of factors such as the flatness, levelness and/or thickness of the floor. However, it is very difficult to confirm such facts in a short period of time on the fields, and since the practical application of technology to measure and evaluate quantitatively and the establishment of a system are insufficient, it cannot be said to be a problem that can be brought to the surface. In fact, even when considering the conventional measurement of the dynamic modulus of elasticity, measurements are performed under controlled variables, such as placing a 200mm×200mm buffer material on a flat test-floor. However, in the fields, it is common to lay down larger productions(for example, 900mm×600mm) on the bare floor where significant variables are not controlled, and to construct finishing layers corresponding to the pre-qualified floor system without separately confirming the realization of the dynamic modulus of elasticity in the field conditions. In this study, spatial information of the bare floor on the field was measured and evaluated through a laser scanner. Technical methods for assessing the smoothness, flatness, and thickness of construction surfaces were reviewed, providing key insights for grading the quality of construction based on these criteria. Through further detailed and thorough investigations, it is expected that results suitable for practical application and systematization will be derived.

• Applied Chemistry for Engineering
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• v.28 no.4
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• pp.427-431
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• 2017

Recently, complaints of floor noise have been growing up with the rapid increase of the residential buildings. This demands the effective floor noise isolation system. Since the construction of high-rise the residential buildings will be increased even more in future, the noise isolation is a more important technology in the market. In this study, a new floor noise isolation panel (FNIP) was designed and manufactured using waste rubbers. The noise isolation was investigated at both laboratory and field conditions. Light and heavy weight shock wave showed 52 dB and 48 dB in the field test, respectively. The new system could reduce the total floor thickness by 22~42 mm.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.12
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• pp.1250-1256
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• 2012

Resilient materials are used to reduce the floor impact sound in apartment buildings. Since an on-dol layer is installed in the resilient materials' upper part, thickness deformation can be occur in the resilient material. It is necessary to check a thickness deformation grade for a long period of time. In this research, we measured thickness deformation over 400th day to the resilient materials(EPP, EPS, EVA) which is used in Korea. Although there was a difference according to the kind of measurement test specimens, it became clear that thickness was decreases as to time increased. The thickness deformation grade of ten years after was calculated based on the thickness measurement result. Compare with the calculated result and result of ISO 20392. Larger thickness deformation occurred in the measurement result of these research findings compare with the ISO standard.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.05a
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• pp.308-311
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• 2004

It is reported that there is a limit in increasing heavy-weight impact noise isolation performance of the load bearing wall system apartments to meet the regulation of the Ministry of Construction and Transportation (MOCT). To increase the heavy-weight impact noise isolation performance, improvement in structural systems such as increasing concrete slab thickness and application of rahmen structure were proposed. In this study floor impact sound levels from toil apartments with two rahmen structure multi-story residential buildings were measured before the construction of the buildings finished. Measurements were made at living room and two bedrooms at each apartment when the finishing processes were finished. The average value of light-weight impact sound level from ten apartments was 56dB (L'$\sub$n,Aw/). The heavy-weight impact sound level was 44dB (L'$\sub$i.Fmax.Aw/) and the impact sound level of the impact ball was 41dB(L'$\sub$i.Fmax.Aw/), As a result floor impact noises at the rahmen structure system were lower than the regulation level.

• KIEAE Journal
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• v.7 no.1
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• pp.95-100
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• 2007

In apartment houses, said to be similar to a typical housing form, every household share the walls and floors. Many problems inevitably accompany such as an arrangement, as noise and vibration are shared among households. When investigating the percentage of apartment resident's dissatisfaction with housing environments, discontent due to noise ranks the highest. Among many different kinds of noises, noise such as floor crashing sounds show the highest indication rate in the residents' comparison of discontent. Therefore, it is the practice of insulating against noises such as floor crashing sounds that improves the apartment house environments. The factors influencing the floor impact sound insulation include floor finishing materials, shock absorbing floors (slabs included), and ceiling structures. The ceilings of the apartment houses, currently built in Korea, are set up with lower parts of slabs and paper finishing, or with double floors for protecting against floor impact sounds in order to improve the sound insulating performance. The most common the method of ceiling structure construction consists of 'wood boarded frames +Gypsum boards + ceiling papers', which is called the wood boarded frame method. This study aimed to measures and evaluates floor impact sound insulation by which the ceiling space are widened according to suppression system is added in apartment house ceiling structure.

• KIEAE Journal
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• v.3 no.3
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• pp.27-34
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• 2003

As a result of supply-oriented housing policy of Korea since the 1960s, the number of apartment housing units has increased up to six million as of the end of 2001 that is 55% of total housing units. Although the needs of placid living environment increases according to the enhancement of residents' living standard, most of construction firms as apartment suppliers plan and design apartment buildings to maximize the profit and give rise the residents' petitions and troubles about floor impact noise. In consequence, the floor impact noise becomes one of principal problems of living environment, and the government placed the obligation of installing the noise isolation materials between upper and lower floors in 2001 and controlling the floor impact noise lower than 60dB from the middle of 2004. In other to provide the fundamental research data to enhance the reduction performance of floor impact sound, in this paper, the factors that influence on the floor impact noise are derived from the survey of many research papers and the performance of various materials used as noise reduction objects are compared and surveyed with the factors in the experiments in field and laboratory.

• Journal of the Korean Wood Science and Technology
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• v.39 no.1
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• pp.41-52
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• 2011

This study was carried out to investigate the effect of energy saving and sound insulation of building materials mixed with charcoal. To investigate the functionality of building based on the difference of construction materials, three different experimental buildings were constructed. They were buildings built with the conventional construction materials (A), the charcoal construction materials (B), and the charcoal-sericite construction materials (C). The study showed that energy consumption could be reduced approximately 9.5% and 14.5% by replacing A with B and C, respectively. Especially, it is revealed that the lower outdoor temperature was, the higher energy saving effect was. Also, after shutoff the boiler switch the decrease rate of room temperature of the one using B was lower than those of others using A and C so that the room temperature at the building using B was higher by $3.5{\sim}4.2^{\circ}C$ in the 1 meter air above the ground and by $4.4{\sim}5.4^{\circ}C$ on the floor surface after 12 hours passed. In the building noise test the heavy-and light-weight impact sound of the plate, represented by criterion of noise between floors in multi-story building, tended to decrease in the test sample containing charcoal.

• The Journal of the Acoustical Society of Korea
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• v.42 no.6
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• pp.603-616
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• 2023

In this study, machine learning-based clustering and classification of residential noise in apartment buildings was conducted using frequency and temporal characteristics. First, a residential noise source dataset was constructed . The residential noise source dataset was consisted of floor impact, airborne, plumbing and equipment noise, environmental, and construction noise. The clustering of residential noise was performed by K-Means clustering method. For frequency characteristics, L_eq and L_max values were derived for 1/1 and 1/3 octave band for each sound source. For temporal characteristics, Leq values were derived at every 6 ms through sound pressure level analysis for 5 s. The number of k in K-Means clustering method was determined through the silhouette coefficient and elbow method. The clustering of residential noise source by frequency characteristic resulted in three clusters for both L_eq and L_max analysis. Temporal characteristic clustered residential noise source into 9 clusters for L_eq and 11 clusters for L_max. Clustering by frequency characteristic clustered according to the proportion of low frequency band. Then, to utilize the clustering results, the residential noise source was classified using three kinds of machine learning. The results of the residential noise classification showed the highest accuracy and f1-score for data labeled with L_eq values in 1/3 octave bands, and the highest accuracy and f1-score for classifying residential noise sources with an Artificial Neural Network (ANN) model using both frequency and temporal features, with 93 % accuracy and 92 % f1-score.