Prediction method of high-rise building foundation settlement based on GPS Baseline Solution

The paper presents two structural solutions for the high-rise building pile foundation where stylobate and high-altitude parts are not separated by a contraction joint studying results. The main difference between these structural solutions is in the use of piles of different lengths: in the first version all piles have the same length (implemented in practice) and the second version (perspective) is use of different lengths of piles and their support various engineering-geological elements (EGE): the longer piles support by stronger EGE under the altitude part and the shorter piles support by weaker EGE under the stylobate part. In calculations of the adopted versions piles tests results and geodetic observations have been considered for the used calculation methods verification

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Methods for Crack Prevention of Large Volume Concrete Foundation of High-Rise Building

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.29-32.305 ◽

2010 ◽

Vol 29-32 ◽

pp. 305-309

Author(s):

Jin Jun Guo ◽

Wei Wang

Keyword(s):

Large Volume ◽

Active Part ◽

Foundation Design ◽

Crack Control ◽

High Rise ◽

Concrete Foundation ◽

High Rise Building ◽

Building Foundation ◽

Optimizing Design ◽

Difficult Issue

Crack prevention of high-rise building foundation is an interesting and difficult issue to engineers. Reasons for the crack are analyzed first. Then, based on project cases, crack control methods of large volume concrete foundation are studied in terms of active part and passive part. Active part includes optimizing design of concrete, optimizing foundation design and improving confining condition. Passive part includes reducing temperature difference and increasing the fracture strength of concrete. Finally, optimum foundation design is emphasized for crack control of large volume concrete foundation.

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A Prediction Method of Vertical Lifting Loads Based on Long-term Time Series Analysis for High-rise Building Construction

Procedia Engineering ◽

10.1016/j.proeng.2017.07.181 ◽

2017 ◽

Vol 196 ◽

pp. 121-127 ◽

Cited By ~ 1

Author(s):

Kyuhyup Lee ◽

Soonwook Kwon ◽

Joonghwan Shin ◽

Suwan Chung ◽

Songyi Lee

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Prediction Method ◽

Building Construction ◽

High Rise ◽

High Rise Building ◽

Series Analysis

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Reuse of existing bored piles for high-rise building foundation

Japanese Geotechnical Society Special Publication ◽

10.3208/jgssp.esd-09 ◽

2016 ◽

Vol 2 (2) ◽

pp. 158-161 ◽

Cited By ~ 1

Author(s):

Toru Watanabe ◽

Sadayuki Ishizaki ◽

Natsumi Tomita ◽

Shin-ichiro Kawamoto ◽

Satoshi Tatsuno

Keyword(s):

High Rise ◽

High Rise Building ◽

Building Foundation ◽

Bored Piles

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Prediction of Pilot Pollution in High-Rise Buildings Covered by Outdoor Base Station

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.443-444.430 ◽

2012 ◽

Vol 443-444 ◽

pp. 430-436

Author(s):

Min Niu ◽

Cui Bo Yu ◽

Xiao Hua Zhang ◽

Wen Yuan Ke

Keyword(s):

Communication Systems ◽

Capital Expenditure ◽

Prediction Method ◽

Base Station ◽

Target Area ◽

High Rise ◽

High Rise Building ◽

Building Area ◽

Pilot Pollution ◽

Code Division Multiple

In Code Division Multiple Access (CDMA) communication systems, the pilot pollution in high-rise building area is an increasingly prominent and long-standing problem, which seriously affects Quality of Service (QoS) and User Experience (UE). This paper presents a predicting method of pilot pollution in high-rise building area covered by Outdoor Base Station (OBS).The method, which is based on Operation Maintenance Center (OMC) and location (LOC) data, can predict pilot pollution severity occurred in high-rise and pertinently recommend a prioritization scheme, by analyzing the relationship of pilot strength, distance and angle between target area and OBS. The validity and feasibility of this prediction method have been verified by Call Quality Test (CQT). Operators Capital Expenditure (CAPEX) and Operating Expense (OPEX) could be greatly reduced with the efficient and convenient prediction.

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