989 resultados para Building roof
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[Early Roof Studies], untitled. Black and blue ink sketches on two sheets of tracing paper with blue and orange marker coloring, 18x28 inches. Second sketch is digital image only
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Looking west from roof of adjacent building. Albert Kahn, architect. Irwin & Leighton, contractors. Construction 1914-1915. Building named for Edward H. Kraus. Image mounted on linen. One of series of construction photos probably taken by Lyndon for contractor and given to UM Building & Grounds. On image: New Science Bldg. Irwin + Leighton, contractors. June 18, 1914.
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View toward north. Steel framework for roof of building nearly complete. Exterior limestone on second floor. No. 18 of chronological series of construction photographs, numbered 1 to 32. Smith, Hinchman & Grylls, architects. W.B. Wood Co., construction
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View toward north including cityscape. Limestone in progress on second floor. Roof is being prepared for finish. Finishing stonework on first floor. Additional scaffolding from east tower to roof. No. 24 of chronological series of construction photographs, numbered 1 to 32. Smith, Hinchman & Grylls, architects. W.B. Wood Co., construction
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View toward north. Clear cityscape to northeast. Stonework appears complete first and second floors. Roof nearly completely prepared. No. 27 of chronological series of construction photographs, numbered 1 to 32. Smith, Hinchman & Grylls, architects. W.B. Wood Co., construction
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View toward north. Roof in final stage. No. 30 of chronological series of construction photographs, numbered 1 to 32. Smith, Hinchman & Grylls, architects. W.B. Wood Co., construction
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State Street side of building (front). William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958
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State Street side of building (front). Tennis Court to right. William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958. Image includes tennis courts. On verso: From Michigan Historical Collections, University of Michigan, 168 Rackham Building, Ann Arbor, Michigan.
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State Street side of building (front). William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958. Image includes Alumni Memorial Hall, Graduate Library, Old University Hall, Chemistry Building, and Observatory. On verso: View from the Union
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State Street side of building (front). William L. Jenney, architect. Originally University Museum, built 1880-1881. Roof replaced 1894. Museum moved in 1928. Housed Department of Romance Languages after 1928. Building razed in 1958
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Typed notes attached to verso: Front elevation of south wing. The photograph does not show the effects of wear and tear on this building. The door frames and sills should be replaced, the steps are in need of repairs and the siding is failing. At the right a part of the north wing appears. This displays the bad condition of the roof. The north wing contains a drawing room which is frequently abandoned during the winter because it cannot be heated. This seems to have been one of the wings of the building used as the University Hospital and later as the Dental College.
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v. 1 Mason's work -- v. 2 Carpenters' work -- v. 3 Trussed roofs and roof trusses.
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An approach and strategy for automatic detection of buildings from aerial images using combined image analysis and interpretation techniques is described in this paper. It is undertaken in several steps. A dense DSM is obtained by stereo image matching and then the results of multi-band classification, the DSM, and Normalized Difference Vegetation Index (NDVI) are used to reveal preliminary building interest areas. From these areas, a shape modeling algorithm has been used to precisely delineate their boundaries. The Dempster-Shafer data fusion technique is then applied to detect buildings from the combination of three data sources by a statistically-based classification. A number of test areas, which include buildings of different sizes, shape, and roof color have been investigated. The tests are encouraging and demonstrate that all processes in this system are important for effective building detection.
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Widespread damage to roofing materials (such as tiles and shingles) for low-rise buildings, even for weaker hurricanes, has raised concerns regarding design load provisions and construction practices. Currently the building codes used for designing low-rise building roofs are mainly based on testing results from building models which generally do not simulate the architectural features of roofing materials that may significantly influence the wind-induced pressures. Full-scale experimentation was conducted under high winds to investigate the effects of architectural details of high profile roof tiles and asphalt shingles on net pressures that are often responsible for damage to these roofing materials. Effects on the vulnerability of roofing materials were also studied. Different roof models with bare, tiled, and shingled roof decks were tested. Pressures acting on both top and bottom surfaces of the roofing materials were measured to understand their effects on the net uplift loading. The area-averaged peak pressure coefficients obtained from bare, tiled, and shingled roof decks were compared. In addition, a set of wind tunnel tests on a tiled roof deck model were conducted to verify the effects of tiles' cavity internal pressure. Both the full-scale and the wind tunnel test results showed that underside pressure of a roof tile could either aggravate or alleviate wind uplift on the tile based on its orientation on the roof with respect to the wind angle of attack. For shingles, the underside pressure could aggravate wind uplift if the shingle is located near the center of the roof deck. Bare deck modeling to estimate design wind uplift on shingled decks may be acceptable for most locations but not for field locations; it could underestimate the uplift on shingles by 30-60%. In addition, some initial quantification of the effects of roofing materials on wind uplift was performed by studying the wind uplift load ratio for tiled versus bare deck and shingled versus bare deck. Vulnerability curves, with and without considering the effects of tiles' cavity internal pressure, showed significant differences. Aerodynamic load provisions for low-rise buildings' roofs and their vulnerability can thus be more accurately evaluated by considering the effects of the roofing materials.
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Major portion of hurricane-induced economic loss originates from damages to building structures. The damages on building structures are typically grouped into three main categories: exterior, interior, and contents damage. Although the latter two types of damages, in most cases, cause more than 50% of the total loss, little has been done to investigate the physical damage process and unveil the interdependence of interior damage parameters. Building interior and contents damages are mainly due to wind-driven rain (WDR) intrusion through building envelope defects, breaches, and other functional openings. The limitation of research works and subsequent knowledge gaps, are in most part due to the complexity of damage phenomena during hurricanes and lack of established measurement methodologies to quantify rainwater intrusion. This dissertation focuses on devising methodologies for large-scale experimental simulation of tropical cyclone WDR and measurements of rainwater intrusion to acquire benchmark test-based data for the development of hurricane-induced building interior and contents damage model. Target WDR parameters derived from tropical cyclone rainfall data were used to simulate the WDR characteristics at the Wall of Wind (WOW) facility. The proposed WDR simulation methodology presents detailed procedures for selection of type and number of nozzles formulated based on tropical cyclone WDR study. The simulated WDR was later used to experimentally investigate the mechanisms of rainwater deposition/intrusion in buildings. Test-based dataset of two rainwater intrusion parameters that quantify the distribution of direct impinging raindrops and surface runoff rainwater over building surface — rain admittance factor (RAF) and surface runoff coefficient (SRC), respectively —were developed using common shapes of low-rise buildings. The dataset was applied to a newly formulated WDR estimation model to predict the volume of rainwater ingress through envelope openings such as wall and roof deck breaches and window sill cracks. The validation of the new model using experimental data indicated reasonable estimation of rainwater ingress through envelope defects and breaches during tropical cyclones. The WDR estimation model and experimental dataset of WDR parameters developed in this dissertation work can be used to enhance the prediction capabilities of existing interior damage models such as the Florida Public Hurricane Loss Model (FPHLM).^