Twin Towers Research Articles

Analysis of Labor Productivity in Mechanical, Electrical, and Plumbing Works for a Multi-Story Building (Case Study: UPN "Veteran" East Java Twin Tower Building)

In a project construction , productivity power Work be one factor affecting efficiency and success project . This is very important in work Mechanical, Electrical and Plumbing (MEP) in buildings multilevel , where is precision time , quality , and reliability installation is very important comfort and security user building the . Study This aim for analyze productivity power working on Mechanical, Electrical and Plumbing (MEP) work on the construction of the UPN "Veteran" East Java Twin Tower Building. Collected data covers planning and realization in the site , such as coefficient power work , volume of work daily , total labor daily , and productivity power Work . The analytical method used is compare between productivity planning and productivity realization in the site . Research result show that there is difference significant productivity between planning and realization in the site . Actual productivity in the site is lower than planning productivity. These findings can be used as input for contractors to increase labor productivity on similar construction projects in the future.

Frontier Stories: Burnt Shadows and an Alternative Ethic of Narrativizing Violence

ABSTRACT The attack on the twin towers of the World Trade Centre on September 11, 2001 and its hyper-visual aftermath has led to a new paradigm in Euro-American collective consciousness. This new paradigm is marked by an almost obsessive reliance on the image of the moment and the image as the ultimate source of or rather the absence of meaning. Kamila Shamsie’s fiction Burnt Shadows exemplifies a point of departure from what has become an almost salient feature of Euro-American narrative on violence, its representation, and historicity. This paper explores how Shamsie forges an alternate interpretative apparatus that resolutely refuses to give in to the singularity of a moment (and its image) as a defining trope of terror and its representation. Instead, Shamsie’s novel weaves a complex pattern of other stories gleaned from across time and from the frontier spaces of present-day Afghanistan and Pakistan that have remained largely unrecognized in the Euro-American cultural landscape. Emphasizing the relevance of the vast topography of catastrophe and continual human wreckage woven in Burnt Shadows this paper considers Shamsie’s approach as a necessary and timely intervention that reformulates violence and its historicity beyond the delimiting scope of a singular, overarching trope.

Optimal Profitability Analysis for Contractors Regarding Variations in Payment Systems and Scheduling

Construction projects often face higher risks than other types of projects, primarily due to potential delays from inaccurate scheduling and cash flow issues. Therefore, effective scheduling and payment systems are crucial for contractors to reduce risks and achieve optimal profitability. This study aims to identify optimal cash flow and profitability for contractors through the analysis of various payment systems and the utilization of float time. The methods used include cash flow analysis and feasibility analysis using NPV, BCR, and ROI methods. This research explores eight different payment and scheduling approaches to evaluate their impact on project profitability. The results show that cash flow across all alternatives remains positive without experiencing a shortage of funds and indicate that the contractor's optimal profitability is achieved with application of alternative 5, featuring 0% float time and no advance payments. This alternative results in the highest profit, with an NPV of Rp 15,338,960,581, a BCR of 1.059, and an ROI of 5.90%. From these results, it can be concluded that not utilizing float time leads to the most optimal profitability for the contractor. Additionally, it can be said that the scheduling plan implemented by the contractor for the Twin Tower project is well-structured. However, for the payment system, it is recommended to adopt a no-advance payment approach. It is hoped that this study will help contractors optimize their profits in the competitive construction industry.

Dynamic behavior monitoring of twin supertall buildings during Super Typhoon Soksuri using social sensing data

This paper presents the dynamic behavior monitoring of the 300-m-tall Xiamen twin towers during Super Typhoon Soksuri by means of social sensing, which involves two individuals equipped with six smart devices to conduct acceleration measurement and video footage filming. The measured acceleration data are first corrected by the resampling technique since the sampling rate of smart-device-based measurement is unstable, and the corrected building acceleration obtained from different smart devices shows good consistency. Based on the corrected building acceleration responses, the amplitude-dependent and time-variant structural dynamic properties of the monitored twin towers are revealed by the random decrement technique and the Bayesian spectral density approach, respectively. The determined structural dynamic properties are further compared with seven existing prediction models to evaluate their accuracy. Moreover, by employing a computer-vision technique (i.e., the Kanade-Lucas-Tomasi optical-flow approach), the structural dynamic displacement was extracted from the video footage filmed during Soksuri, and its accuracy was further validated through comparison with direct acceleration measurements. This paper aims to demonstrate the feasibility and effectiveness of social sensing for dynamic behavior monitoring of supertall buildings.

Highly efficient hydrogenation of carbonate to methanol for boosting CO2 mitigation

The massive CO2 emissions from the energy-intensive industrial sectors can trace to the thermal decomposition of raw mineral carbonates during high-temperature manufactories. To mitigate CO2 emissions, we propose a novel strategy of carbonate-to-methanol through a highly efficient hydrogenation, where the carbon in mineral magnesite is used as a precious resource to unleash its tremendous value. More significantly, we break the trade-off between the excessive H2 for the complete magnesite conversion and the utilization efficiency of H2 by the recycle usage of H2 through the convenient gas–liquid separation of H2/CH3OH. Guided by the thermodynamic predictions, without any catalysts, the excessive H2 accelerates the direct hydrogenation of magnesite in a twin tower at a relatively low temperature of 550 °C, almost approaching thermodynamic limit of 67 % CO selectivity at a complete magnesite decomposition. The outlet syngas with an extremely high molar ratio of H2 to CO of 8 is further used for subsequent methanol production, achieving an outperformed 70 % CO conversion efficiency and over 99 % CH3OH selectivity. Comprehensive scale-up process simulations indicate that the proposed strategy could increase the H2 utilization efficiency by over 80 %, where the carbon footprint assessment illustrates when the green H2 from wind energy is supplied, the negative net CO2 emissions of −5.6 kgCO2/kgmethanol at a low energy consumption of 10 MJ/kgmethanol can be achieved, which highlights its promising industrialization prospects.

Derrida, Autoimmunity, and Islamic Medicine

Autoimmunity often refers to a medical condition, yet it was used by Jacques Derrida to theorize the conflict between religion and science as well as Islam and the West. Derrida’s use of the term autoimmunity became widespread after he used it to diagnose the “American Organism” in the aftermath of the attacks on the Twin Towers in New York City on September 11, 2001. Most commentary on Derrida’s political diagnosis have focused on his reading of Islam as an Other within the US body politic. This essay takes a different approach and reads Derrida’s diagnosis within the tradition of Islamic Medicine. If we are to truly rethink the othering of Islam as a viral autoimmune disease in the body politic of the US empire, we need to understand Islamic thought as forming the very basis of the West’s image of itself. I argue that Islam is far from a self-contained category opposing the West: a virus or a plague attacking it from the outside. Rather, Islam is the swallowed-within of the West itself, to which, the West continuously returns/reacts in an autoimmune fashion.

Once a Muslim Always a Muslim: The Rise and Fall of the Muslim American Protagonist in Ayad Akhtar’s Disgraced

The post 9/11 atmosphere of terror made Muslim Americans highly visible in the U.S.and they have been viewed as potential terrorist suspects. Therefore, in the light of these circumstances, Ayad Akhtar’s Play Disgraced is most apropos to be revisited as his works focus on the existence of Muslims in America as a post-colonial contact zone. In fact, the play puts the interracial marriage of Amir, and his wife Emily, a White American woman on center stage and makes it fall down before our eyes. Despite the fact that Amir’s credentials qualify him to be a model minority citizen, and reach the American Dream, he falls out of grace as soon as he appears in court to show support as a pro bono lawyer to a Muslim Imam who is tried for raising fund for a mosque in the Middle East. This paper belabors the reasons that led to the reversal of the hero’s fortune from prosperity to misery in the wake of the collapse of New York twin towers.

Twin Towers End to End model for aspect-based sentiment analysis

Aspect-based sentiment analysis (ABSA) aims to conduct fine-grained sentiment analysis, necessitating the extraction of three key components: target entity, aspect category and sentiment polarity. These three components collectively form an integrated ABSA task known as TASD (Target-Aspect-Sentiment jointly Detection). Most of existing approaches on ABSA usually employ Recurrent neural networks(RNNs), Convolutional neural networks(CNNs) or pre-training models such as Bidirectional Encoder Representations from Transformers(BERT). However, they have some common weaknesses. First, most of the existing methods focus on one or two sub-tasks instead of triplet detection, thus they do not establish an end-to-end (training a complex learning system represented by a single model) ABSA model and cannot utilize the relevance of multiple ABSA sub-tasks during training. Second, they cannot achieve accuracy and efficiency simultaneously due to the coupling of context and given aspects. Third, they are poor in recognizing implicit targets. To tackle these limitations, this paper proposes a novel method named the Twin Towers End to End model (TTEE) to solve TASD task. It transforms complex TASD task into a simple end-to-end multi-task framework, simultaneously conducting target and aspect-sentiment detection. It builds twin towers system based on BERT or its updated versions to decouple context and given aspects, which can reduce redundant calculation to improve computational efficiency significantly. It offers great advantage to identify implicit target entity and its associated aspect-sentiment in the context without introducing extra model architecture. Experiments on three public datasets in different domains demonstrate that our approach not only achieves better performance on various evaluation metrics, but also has high efficiency in both training and inference phases, over a wide range of sample size and number of aspect categories.

Graph neural network recommendation algorithm based on improved dual tower model

In this era of information explosion, recommendation systems play a key role in helping users to uncover content of interest among massive amounts of information. Pursuing a breadth of recall while maintaining accuracy is a core challenge for current recommendation systems. In this paper, we propose a new recommendation algorithm model, the interactive higher-order dual tower (IHDT), which improves current models by adding interactivity and higher-order feature learning between the dual tower neural networks. A heterogeneous graph is constructed containing different types of nodes, such as users, items, and attributes, extracting richer feature representations through meta-paths. To achieve feature interaction, an interactive learning mechanism is introduced to inject relevant features between the user and project towers. Additionally, this method utilizes graph convolutional networks for higher-order feature learning, pooling the node embeddings of the twin towers to obtain enhanced end-user and item representations. IHDT was evaluated on the MovieLens dataset and outperformed multiple baseline methods. Ablation experiments verified the contribution of interactive learning and high-order GCN components.

Fundamentalism: An Intertextual Case of Home Fire by Shamsie and Antigone by Sophocles with the Backdrop of 21st Century

This paper is a comparative study of two works- Home Fire by Kamila Shamsie and Antigonie by Sophocles. This paper aims at intertextual analysis of the selected texts to unearth the issue of fundamentalism and fear of Islam in the modern world. The West is in the grip of Islamic phobia which is quite haunting for it. Their arts and literature, particularly after the 9/11 attacks on the Twin Towers of World Trade Center abound in themes of fundamentalism and extremism as it is associated with Islam. Kamila Shamsie deals with the issue of fundamentalism in Home Fire so does Sophocles centuries ago in Antigone. There is no single text in literature rather every text is a mosaic of previous texts. One fine example related to this is The Waste Land (1922) by T. S. Eliot. Likewise, Home Fire bears handsome intertextuality with the previous texts, particularly Antigone.

Seismic multi-objective stochastic parameters optimization of multiple tuned mass damper system for a large podium twin towers structure

The lateral-torsional coupled dynamic response under earthquake excitation is a critical problem for eccentric building structures. To control the hazardous coupled seismic response, a tuned mass damper (TMD) is an attractive vibration control device. A multiple TMD (MTMD) system, which is composed by several TMDs with different frequencies and damping ratios, has a better structural control effect under stochastic excitation with a wide frequency range such as earthquake. To improve the lateral-torsional coupled seismic mitigation performance of MTMD for eccentric structures, a multi-objective stochastic parameters optimization method is proposed, and a building with a large podium and twin towers is proposed as the case study. Considering the randomness of earthquakes, a stationary white noise stochastic process based on the Kanai-Tajimi spectrum is used as the input in the optimization. According to structural modal shapes, three TMDs are distributed in the podium, left tower and right tower respectively in the X direction, and two TMDs are in the left tower and right tower respectively in the Y direction, while both the maximum and root mean square (RMS) displacements of top stories of the podium, left tower and right tower are all considered in the optimization. Artificial fish swarm algorithm (AFSA) is used to search optimized parameters of MTMD in this study. For comparison, a MTMD system designed based on the traditional method is presented. Numerical results show that under bi-directional earthquake excitations, the proposed MTMD system has the best seismic mitigation effect generally, in both displacement and acceleration responses. Though the proposed MTMD system is aimed at X- and Y- directional translational responses, it can control torsional responses effectively as well.

Optimization Design and Evaluation of the Industrial Distillation‐Membrane Separation Process

AbstractA comprehensive solution strategy based on genetic programming (GP) was introduced into an industrial methyl methacrylate refining plant, and the downstream separation process of acetone/butanol/ethanol fermentation in the “twin tower + horizontal bottle” cycle was optimized. The effects of different membranes and operating temperatures on the process were studied. The mixed‐membrane and modified‐membrane process parameters were shown to improve the economy and environmental protection. The total annual cost was reduced by 9 % and 22.5 %, and CO2, SO2, and NOx emissions by 37.7 % and 78.7 %, respectively. The energy‐saving distillation‐membrane separation process has significant benefits in industrial production.

Banking on genocide: The racial disparities and patriotic politics of a massive international corruption case

We focus on the 2015 conviction in New York of BNP Paribas Bank for its role in the Darfur genocide. Proceeds from this case were used by congress to create a terrorism fund to compensate American victims of the 9/11 Twin Towers attack, while Black victims of the Darfur genocide received no compensation. This paper uses a sequential theory developed by David Garland to understand the racialized persistence of the American death penalty and its implications for understanding the creation of the Twin Towers Fund. A civil suit is presently drawing on the BNP conviction to again seek compensation for Darfur genocide victims. Garland’s approach helps us to better understand the evolution of the Darfur case.

Use of Modal Substructure Method to Improve Wind-Resistance Design of Twin Towers

To provide guidance for the wind-resistant design of super-tall twin towers, this study proposes a new method for the wind-induced response computation and wind-resistant design optimization of twin towers, named the Modal Substructure (MSS) method. The MSS method is established through theoretical deduction, which is utilized to investigate the effects of links on the structural dynamic characteristics of twin towers via parameter analysis. The results show that, in the in-phase mode, the structural link increases the generalized mass of the “linked tower” system but insignificantly affects its stiffness and damping. However, in the out-of-phase mode, the link increases the overall damping and stiffness of the “linked tower” system, with negligible effects on the inertia characteristics of the entire structure. Finally, the accuracy of the MSS method is validated using 570 m-high twin towers as a case study. It was found that although the MSS method is an approximate approach, its results exhibit good accuracy and convenience in exploring the impact of link properties on the dynamic characteristics of twin towers. Therefore, the MSS method can be effectively used to guide the wind-resistant design of linked twin towers.

Mohsin Hamid’in Gönülsüz Köktendinci İsimli Romanının Risk ve Mekân Kavramları Bakımından İncelenmesi

The September 11 attacks on the Twin Towers of the World Trade Center have had diverse, catalytic effects on both national and global scales. The present study will analyze Mohsin Hamid's The Reluctant Fundamentalist as a 9/11 narrative exploring the implications of living in a society characterized by the securitization of everyday lives, mediatized terrorism, and heightened senses of uncertainty, anxiety, and aggressive patriotism. In doing so, it will be examined how competing riskscapes produced multifariously in the aftermath of 9/11 are represented in the novel. The novel foregrounds both risk and space. The protagonist’s physical and symbolic mobility reveal the intricacies of living in the post-9/11 world that are often overlooked in institutionalized risk discourses. With references to cities such as New York, Manila, Lahore, and Valparaiso, the present study will shed light on alternative ways risks and riskscapes are constructed and experienced by individuals.

Bayesian-based prediction and real-time updating of axial deformation in high-rise buildings during construction

Estimating the axial deformation of concrete vertical members in a structure is challenging due to the shrinkage and creep characteristics of concrete together with the uncertainties involved in the construction process. To address the resulting inaccuracies, this paper presents a novel method that employs Bayesian theory to enhance the predicted results by incorporating measured strain from vertical members and equations for time-varying properties of concrete. The following five uncertain parameters are considered: environmental humidity, concrete strength, load transfer, concrete shrinkage calculation errors, and creep equation errors. The proposed method was experimentally evaluated on a twin tower high-rise building, with results showing that even with limited measured strain information, the uncertainty of the predicted results was significantly reduced and the predicted values were aligned closely with the measured values. The study also analyzed the impact of vertical deformation on the elevation deviation of adjacent wall-column members and the connected parts of the two towers.

P15 JAKi of all trades

P15 JAKi of all trades

Modal analysis and harmonic response analysis of the Petronas Twin Towers

The Petronas Twin was once the tallest building in the world and the tallest twin tower nowadays. We are interested in the twin towers structural performance. In this regard, a simplified geometric model of the Petronas Twin Towers has been developed, and the structural performance has been simulated using the finite element analysis software, Ansys. The analysis primarily focuses on investigating the behavior of the towers when subjected to wind loads, and other external factors that may affect the structural integrity of the buildings. We were especially interested in buildings performance when a damper is not existed or when it is small. The modal and harmonic response analyses are used to observe the response of the Twin Towers at different frequencies. The mesh independence study is also conducted for the accuracy of the results.

Resistance against Necropolitics: A Study of Shaila Abdullah’s Saffron Dreams

This paper examines the exercise of necropower by the Americans on the South Asians, especially the Muslims, in the aftermath of 9/11. The purpose of the study is to expose how the Americans (ab)used their social and political power on the lives of the Muslim migrants, making it difficult for them to exist in the host land, that is, the US. For this purpose the study analyzes the narrative data from Sheila Abdullah’s Saffron Dreams (2009). In the novel, the pregnant protagonist Arissa Illahi suffers racial hatred and discrimination while she was undergoing the trauma of losing her husband in the Twin Tower attack of 9/11. Drawing upon the concept of necropolitics by Achille Mbembe, the study discusses how the so-called advanced society of the USA is limited to parochialism of White supremacy. The paper focuses on how the events of ‘September 11’ resulted in the cultural clash between the West and the Muslim world, and how the fighters of the so-called War on Terror were exacerbating the terror through their conduct of Islamophobia. It concludes with a note that one can survive being committed to and taking help of art and creation in spite of social vulnerability.

Improvement of Wind-Induced Responses of Twin Towers Using Modal Substructure Method with Link Bridges

A new wind-resistant design optimization method for twin towers by utilizing link bridges, named as the Modal Substructure (MSS) method, is proposed. The MSS method combines the benefits of engineering design approaches and theoretical analysis methods to achieve efficient wind-induced vibration control tailored to specific twin tower projects. The method involves three main steps: (1) establishing control objectives based on the wind-induced response characteristics of the twin towers, (2) determining control strategies by analyzing the modal acceleration characteristics of the twin towers, and (3) performing parameter optimization of the link bridge, including assessing the damping ratio, mass ratio, and frequency ratio of the bridge. By applying the MSS method, optimal configurations for the link bridge can be identified, leading to effective vibration reduction effects. The wind-induced responses of the twin towers exhibit three distinct types: predominance of out-of-phase response, predominance of in-phase response, and equal importance of in-phase and out-of-phase responses. Each response type necessitates the implementation of specific control strategies. We propose a two-section link bridge design approach: the upper section functions as a tuned mass damper to effectively control the in-phase response, while the lower section is designed as a “stiffness + damping component” to reduce the out-of-phase response.